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Oral Presentations

Talks by contributing authors will be played as watchparty videos, which will appear to all participants in the designated room at the scheduled session time. More information on which papers are included in each session can be found at this link.

Following each talk, there is an allotted time for audience members to participate in Q&A by either posting a question in the “current room” chat, or by approaching a microphone with your avatar and asking aloud.

If you miss a session, you can go into the Media Room of the virtual venue to view talks which were pre-recorded at your convenience.


Enter the Virtual Venue
  • Oral Session 1 @ Blue 1 | ML: Reinforcement Learning


    Blue 1

    View Papers
    { "name":"Oral Session 1 @ Blue 1 | ML: Reinforcement Learning", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Blue 1 | ML: Reinforcement Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Learning Parameterized Task Structure for Generalization to Unseen Entities
    Anthony Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee

    Admissible Policy Teaching through Reward Design
    Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic

    Differentially Private Regret Minimization in Episodic Markov Decision Processes
    Sayak Ray Chowdhury, Xingyu Zhou

  • Oral Session 1 @ Blue 2 | ML: Deep Neural Networks


    Blue 2

    View Papers
    { "name":"Oral Session 1 @ Blue 2 | ML: Deep Neural Networks", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Blue 2 | ML: Deep Neural Networks

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
    Utku Evci, Yann Dauphin, Yani Ioannou, Cem Keskin

    Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations.
    Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

    DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions
    Jonathan Raiman

  • Oral Session 1 @ Blue 3 | ML: Online and Graph-based Learning


    Blue 3

    View Papers
    { "name":"Oral Session 1 @ Blue 3 | ML: Online and Graph-based Learning", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Blue 3 | ML: Online and Graph-based Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Shrub Ensembles for Online Classification
    Sebastian Buschjäger, Sibylle Hess, Katharina Morik

    fGOT: Graph Distances based on Filters and Optimal Transport
    Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard

    A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback
    Semih Cayci, Yilin Zheng, Atilla Eryilmaz

  • Oral Session 1 @ Blue 4 | PRS: Deterministic Planning & Planning and Learning


    Blue 4

    View Papers
    { "name":"Oral Session 1 @ Blue 4 | PRS: Deterministic Planning & Planning and Learning", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Blue 4 | PRS: Deterministic Planning & Planning and Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds
    Brendan Juba, Roni Stern

    Efficient Encoding of Cost Optimal Delete-Free Planning as SAT
    Masood Feyzbakhsh Rankooh, Jussi Rintanen

    Differential Assessment of Black-Box AI Agents
    Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava

  • Oral Session 1 @ Blue 5 | DMKM: Outlier Detection & Knowledge Graphs


    Blue 5

    View Papers
    { "name":"Oral Session 1 @ Blue 5 | DMKM: Outlier Detection & Knowledge Graphs", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Blue 5 | DMKM: Outlier Detection & Knowledge Graphs

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
    Chunpai Wang, Daniel B. Neill, Feng Chen

    Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
    Andre T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt

    Fuzzy Logic based Logical Query Answering on Knowledge Graphs
    Xuelu Chen, Ziniu Hu, Yizhou Sun

  • Oral Session 1 @ Blue 6 | GTEP: Fair Division


    Blue 6

    View Papers
    { "name":"Oral Session 1 @ Blue 6 | GTEP: Fair Division", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Blue 6 | GTEP: Fair Division

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    On Improving Resource Allocations by Sharing
    Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Rolf Niedermeier, Florian Sachse

    Truthful and Fair Mechanisms for Matroid-Rank Valuations
    Siddharth Barman, Paritosh Verma

    Universal and Tight Online Algorithms for Generalized-Mean Welfare
    Siddharth Barman, Arindam Khan, Arnab Maiti

  • Oral Session 1 @ Red 1 | CV: Video Understanding & 3D CV


    Red 1

    View Papers
    { "name":"Oral Session 1 @ Red 1 | CV: Video Understanding & 3D CV", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Red 1 | CV: Video Understanding & 3D CV

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video
    Jinseok Bae, Hojun Jang, Cheol-Hui Min, Hyungun Choi, Young Min Kim

    MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion
    Md Mofijul Islam, Tariq Iqbal

    Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning
    Manlin Zhang, Jinpeng Wang, Andy J Ma

  • Oral Session 1 @ Red 2 | APP: Games, Optimization & Dynamical Systems


    Red 2

    View Papers
    { "name":"Oral Session 1 @ Red 2 | APP: Games, Optimization & Dynamical Systems", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Red 2 | APP: Games, Optimization & Dynamical Systems

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems
    Frederik Baymler Mathiesen, Bin Yang, Jilin Hu

    An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
    Honguk Woo, Hyunsung Lee, Sangwoo Cho

    AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning
    Enmin Zhao, Renye Yan, Institute of Automation,Chinese Academy of Sciences)Institute of Automation, Chinese Academy of Sciences;School of artificial intelligence, University of Chinese Academy of Sciences)Institute of Automation, Chinese Academy of Sciences)Institute of Automation, Chinese Academy of Sciences)*

  • Oral Session 1 @ Red 3 | CV: Representation Learning


    Red 3

    View Papers
    { "name":"Oral Session 1 @ Red 3 | CV: Representation Learning", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Red 3 | CV: Representation Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Learning Network Architecture for Open-Set Recognition
    Xuelin Zhang, Xuelian Cheng, Donghao Zhang, Paul Bonnington, Zongyuan Ge

    Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding
    Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister

    Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion
    Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu

  • Oral Session 1 @ Red 4 | SNLP: Robustness, Interpretability & Summarization


    Red 4

    View Papers
    { "name":"Oral Session 1 @ Red 4 | SNLP: Robustness, Interpretability & Summarization", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Red 4 | SNLP: Robustness, Interpretability & Summarization

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    The King is Naked: On the Notion of Robustness for Natural Language Processing
    Emanuele La Malfa, Marta Kwiatkowska

    Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
    Siddhant Arora, Danish Pruthi, Norman Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig

    Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation
    Nicholas Egan, Oleg Vasilyev, John Bohannon

  • Oral Session 1 @ Red 5 | Senior Member Track: Vision & NLP


    Red 5

    View Papers
    { "name":"Oral Session 1 @ Red 5 | Senior Member Track: Vision & NLP", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Red 5 | Senior Member Track: Vision & NLP

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Target Languages (vs. Inductive Biases) for Learning to Act and Plan
    Hector Geffner

    Anatomizing Bias in Facial Analysis
    Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa

    Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey
    Prajjwal Bhargava, Vincent Ng

  • Oral Session 1 @ Red 6 | IAAI AI in Practice Panel: From Keyboard to Bedside: Connecting AI Solutions to Health Care Problems


    Red 6

    View Papers
    { "name":"Oral Session 1 @ Red 6 | IAAI AI in Practice Panel: From Keyboard to Bedside: Connecting AI Solutions to Health Care Problems", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 1 @ Red 6 | IAAI AI in Practice Panel: From Keyboard to Bedside: Connecting AI Solutions to Health Care Problems

    See the IAAI events page for details.

  • Oral Session 2 @ Blue 1 | ML: Optimization; PRS: Temporal Planning


    Blue 1

    View Papers
    { "name":"Oral Session 2 @ Blue 1 | ML: Optimization; PRS: Temporal Planning", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Blue 1 | ML: Optimization; PRS: Temporal Planning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
    Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito Palmes, Adi Botea

    Synthesis from Satisficing and Temporal Goals
    Suguman Bansal, Lydia Kavraki, Moshe Y. Vardi, Andrew Wells

    Efficient Riemannian Meta-Optimization by Implicit Differentiation
    Xiaomeng Fan, Yuwei Wu*, Zhi Gao, Yunde Jia, Mehrtash Harandi

  • Oral Session 2 @ Blue 2 | ML: Semi-Supervised Learning


    Blue 2

    View Papers
    { "name":"Oral Session 2 @ Blue 2 | ML: Semi-Supervised Learning", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Blue 2 | ML: Semi-Supervised Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Recovering The Propensity Score From Biased Positive Unlabeled Data
    Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner

    Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
    Fangyuan Zhang, Tianxiang Pan, Bin Wang

    LaSSL: Label-Guided Self-Training for Semi-Supervised Learning
    Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao

  • Oral Session 2 @ Blue 3 | ML: Tensor Methods, Foundations & Verification


    Blue 3

    View Papers
    { "name":"Oral Session 2 @ Blue 3 | ML: Tensor Methods, Foundations & Verification", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Blue 3 | ML: Tensor Methods, Foundations & Verification

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Random Tensor Theory for Tensor Decomposition
    Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau

    Stability Verification in Stochastic Control Systems via Neural Network Supermartingales
    Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee, Thomas A. Henzinger

    Learning-Augmented Algorithms for Online Steiner Tree
    Chenyang Xu, Benjamin Moseley

  • Oral Session 2 @ Blue 4 | SO: Heuristic Search & Combinatorial Optimization


    Blue 4

    View Papers
    { "name":"Oral Session 2 @ Blue 4 | SO: Heuristic Search & Combinatorial Optimization", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Blue 4 | SO: Heuristic Search & Combinatorial Optimization

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Planning with Explanations for Finding Desired Meeting Points on Graphs
    Keisuke Otaki

    An Exact Algorithm with New Upper Bounds for the Maximum $k$-Defective Clique Problem in Massive Sparse Graphs
    Jian Gao, Zhenghang Xu, Ruizhi Li, Minghao Yin

    Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
    Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew Eberhard, Andreas Ernst

  • Oral Session 2 @ Blue 5 | PEAI: Safety, Robustness & Trustworthiness


    Blue 5

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    { "name":"Oral Session 2 @ Blue 5 | PEAI: Safety, Robustness & Trustworthiness", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Blue 5 | PEAI: Safety, Robustness & Trustworthiness

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Provable Guarantees for Understanding Out-of-distribution Detection
    Peyman Morteza, Yixuan Li

    Cosine Model Watermarking Against Ensemble Distillation
    Laurent Charette, Lingyang Chu, Yizhou Chen, Lanjun Wang, Jian Pei, Yong Zhang

    On the Impact of Spurious Correlation for Out-of-Distribution Detection
    Yifei Ming, Yin Hang, Yixuan Li

  • Oral Session 2 @ Blue 6 | GTEP: Auctions, Market-Based Systems & Social Choice


    Blue 6

    View Papers
    { "name":"Oral Session 2 @ Blue 6 | GTEP: Auctions, Market-Based Systems & Social Choice", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Blue 6 | GTEP: Auctions, Market-Based Systems & Social Choice

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Truthful Cake Sharing
    Xiaohui Bei, Xinhang Lu, Warut Suksompong

    Online Task Assignment Problems with Reusable Resources
    Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

    Multi-Unit Auction in Social Networks with Budgets
    Mingyu Xiao, Yuchao Song, Bakh Khoussainov

  • Oral Session 2 @ Red 1 | CV: Scene Analysis, Autonomous Driving & Multimodal Sensor Fusion


    Red 1

    View Papers
    { "name":"Oral Session 2 @ Red 1 | CV: Scene Analysis, Autonomous Driving & Multimodal Sensor Fusion", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Red 1 | CV: Scene Analysis, Autonomous Driving & Multimodal Sensor Fusion

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking
    Yidi Li, Hong Liu, Hao Tang

    CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving
    Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu

    Rendering-Aware HDR Environment Map Prediction From a Single Image
    Jun-Peng Xu, Chen-Yu Zuo, Fang-Lue Zhang, Miao Wang

  • Oral Session 2 @ Red 2 | CMS: Brain Modeling & Simulating Humans


    Red 2

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    { "name":"Oral Session 2 @ Red 2 | CMS: Brain Modeling & Simulating Humans", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Red 2 | CMS: Brain Modeling & Simulating Humans

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Multi-sacle Dynamic Coding improved Spiking Actor Network for Reinforcement Learning
    Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Bo Xu

    Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
    Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh

    VECA: A New Benchmark and Toolkit for General Cognitive Development
    Kwanyoung Park, Hyunseok Oh, Youngki Lee

  • Oral Session 2 @ Red 3 | CV: Representation Learning for Vision


    Red 3

    View Papers
    { "name":"Oral Session 2 @ Red 3 | CV: Representation Learning for Vision", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Red 3 | CV: Representation Learning for Vision

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
    Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo

    Mutual Contrastive Learning for Visual Representation Learning
    Chuanguang Yang, Zhulin An, linhang cai, yongjun xu

    On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
    Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang

  • Oral Session 2 @ Red 4 | KRR: Logics & Reasoning


    Red 4

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    { "name":"Oral Session 2 @ Red 4 | KRR: Logics & Reasoning", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Red 4 | KRR: Logics & Reasoning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Characterizing the Program Expressive Power of Existential Rule Languages
    Heng Zhang, Guifei Jiang

    Automated Synthesis of Generalized Invariant Strategies via Counterexample-Guided Strategy Refinement
    Kailun Luo, Yongmei Liu

    The Price of Selfishness: Conjunctive Query Entailment for ALCSelf is 2EXPTIME-Hard
    Bartosz Bednarczyk, Sebastian Rudolph

  • Oral Session 2 @ Red 5 | SNLP: Generation


    Red 5

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    { "name":"Oral Session 2 @ Red 5 | SNLP: Generation", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Red 5 | SNLP: Generation

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-Training
    Weizhe Yuan, Pengfei Liu

    Unsupervised Editing for Counterfactual Stories
    Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li

    Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning
    Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang

  • Oral Session 2 @ Red 6 | AISI: Fairness, Bias & Social Networks


    Red 6

    View Papers
    { "name":"Oral Session 2 @ Red 6 | AISI: Fairness, Bias & Social Networks", "description":"", "startDate":"02-24-2022", "endDate":"02-24-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 2 @ Red 6 | AISI: Fairness, Bias & Social Networks

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization
    Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin

    Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings
    Sean Matthews, John Hudzina, Dawn Sepehr

    Investigations of Performance and Bias in Human-AI Teamwork in Hiring
    Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar

  • Oral Session 3 @ Blue 1 | ML: Reinforcement Learning


    Blue 1

    View Papers
    { "name":"Oral Session 3 @ Blue 1 | ML: Reinforcement Learning", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Blue 1 | ML: Reinforcement Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    What About Inputing Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
    Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang

    Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits
    Guojun Xiong, Jian Li, Rahul Singh

    Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning
    Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach

  • Oral Session 3 @ Blue 2 | ML: Graph-based ML & Multi-Class Learning


    Blue 2

    View Papers
    { "name":"Oral Session 3 @ Blue 2 | ML: Graph-based ML & Multi-Class Learning", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Blue 2 | ML: Graph-based ML & Multi-Class Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    CoCoS: Enhancing Semi-Supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing
    Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

    Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings
    Xiuwen Gong, Dong Yuan, Wei Bao

    Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
    Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang

  • Oral Session 3 @ Blue 3 | ML: Transfer Learning, Quantum ML & Applications


    Blue 3

    View Papers
    { "name":"Oral Session 3 @ Blue 3 | ML: Transfer Learning, Quantum ML & Applications", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Blue 3 | ML: Transfer Learning, Quantum ML & Applications

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Toward Physically Realizable Quantum Neural Networks
    Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

    Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning
    Jin Chen, Xiaofeng Ji, Xinxiao Wu

    Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data
    Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov

  • Oral Session 3 @ Blue 4 | PRS: Planning/Scheduling under Uncertainty & Temporal Planning


    Blue 4

    View Papers
    { "name":"Oral Session 3 @ Blue 4 | PRS: Planning/Scheduling under Uncertainty & Temporal Planning", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Blue 4 | PRS: Planning/Scheduling under Uncertainty & Temporal Planning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
    Thom S. Badings, Alessandro Abate, Nils Jansen, David Parker, Hasan A. Poonawala, Marielle Stoelinga

    Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks
    Kevin Osanlou, Jeremy D Frank, Andrei Bursuc, Tristan Cazenave, Éric JACOPIN, Christophe GUETTIER, J. Benton

    Deciding Unsolvability in Temporal Planning under Action Non-Self-Overlapping
    Stefan Panjkovic, Andrea Micheli, Alessandro Cimatti

  • Oral Session 3 @ Blue 5 | KRR: Automated Reasoning & Applications


    Blue 5

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    { "name":"Oral Session 3 @ Blue 5 | KRR: Automated Reasoning & Applications", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Blue 5 | KRR: Automated Reasoning & Applications

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Certified Symmetry and Dominance Breaking for Combinatorial Optimisation
    Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström

    Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic
    Paolo Felli, Marco Montali, Sarah Winkler

    Expressivity of Planning with Horn Description Logic Ontologies
    Stefan Borgwardt, Jörg Hoffmann, Alisa Kovtunova, Markus Krötzsch, Bernhard Nebel, Marcel Steinmetz

  • Oral Session 3 @ Blue 6 | Senior Member Track: Markets & Applications


    Blue 6

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    { "name":"Oral Session 3 @ Blue 6 | Senior Member Track: Markets & Applications", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Blue 6 | Senior Member Track: Markets & Applications

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Matching Market Design with Constraints
    Haris Aziz, Peter Biro, Makoto Yokoo

    Delivering Trustworthy AI through Formal XAI
    Joao Marques-Silva, Alexey Ignatiev

    Model-Based Diagnosis of Multi-Agent Systems: A Survey
    Meir Kalech, Avraham Natan

  • Oral Session 3 @ Red 1 | CV: Image and Video Retrieval


    Red 1

    View Papers
    { "name":"Oral Session 3 @ Red 1 | CV: Image and Video Retrieval", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Red 1 | CV: Image and Video Retrieval

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Deep Unsupervised Hashing with Latent Semantic Components
    Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang

    Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
    Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia

    TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval
    Jialin Tian, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen

  • Oral Session 3 @ Red 2 | CV: 3D Computer Vision


    Red 2

    View Papers
    { "name":"Oral Session 3 @ Red 2 | CV: 3D Computer Vision", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Red 2 | CV: 3D Computer Vision

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
    Na Zhao, Gim Hee Lee

    DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration
    Zhi Chen, Fan Yang, Wenbing Tao

    Robust Depth Completion with Uncertainty-Driven Loss Functions
    Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi

  • Oral Session 3 @ Red 3 | DMKM: Graph Mining


    Red 3

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    { "name":"Oral Session 3 @ Red 3 | DMKM: Graph Mining", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Red 3 | DMKM: Graph Mining

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Orthogonal Graph Neural Networks
    Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

    EqGNN: Equalized Node Opportunity in Graphs
    Uriel Singer, Kira Radinsky

    Differentially Describing Groups of Graphs
    Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

  • Oral Session 3 @ Red 4 | SNLP: Text Classification & Sentence-Level Semantics


    Red 4

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    { "name":"Oral Session 3 @ Red 4 | SNLP: Text Classification & Sentence-Level Semantics", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Red 4 | SNLP: Text Classification & Sentence-Level Semantics

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Contrast-Enhanced Semi-Supervised Text Classification with Few Labels
    Austin Cheng-Yun Tsai, Sheng-Ya Lin, Li-Chen Fu

    From Dense to Sparse: Contrastive Pruning for Better Pre-Trained Language Model Compression
    Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang

    Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
    Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang

  • Oral Session 3 @ Red 5 | SNLP: Conversational AI


    Red 5

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    { "name":"Oral Session 3 @ Red 5 | SNLP: Conversational AI", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Red 5 | SNLP: Conversational AI

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
    Qian Lin, Hwee Tou Ng

    HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning
    Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria

    CEM: Commonsense-Aware Empathetic Response Generation
    Sahand Sabour, Chujie Zheng, Minlie Huang

  • Oral Session 3 @ Red 6 | AISI: Social Welfare, Justice, Fairness and Equality


    Red 6

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    { "name":"Oral Session 3 @ Red 6 | AISI: Social Welfare, Justice, Fairness and Equality", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 3 @ Red 6 | AISI: Social Welfare, Justice, Fairness and Equality

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search
    Yunhe Feng, Chirag Shah

    Gradual (In)Compatibility of Fairness Criteria
    Corinna Hertweck, Tim Räz

    FairFoody: Bringing in Fairness in Food Delivery
    Anjali, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi

  • Oral Session 4 @ Blue 1 | Senior Member Track: Frontiers of AI Applications


    Blue 1

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    { "name":"Oral Session 4 @ Blue 1 | Senior Member Track: Frontiers of AI Applications", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Blue 1 | Senior Member Track: Frontiers of AI Applications

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems
    Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan

    The Computational Gauntlet of Human-Like Learning
    Pat Langley

    Training on the Test Set: Mapping the System-Problem Space in AI
    Jose Hernandez-Orallo, Wout Schellaert, Fernando Martínez-Plumed

  • Oral Session 4 @ Blue 2 | DMKM: Visualization, Knowledge Base; ML: Evaluation


    Blue 2

    View Papers
    { "name":"Oral Session 4 @ Blue 2 | DMKM: Visualization, Knowledge Base; ML: Evaluation", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Blue 2 | DMKM: Visualization, Knowledge Base; ML: Evaluation

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty
    Fernando Martínez-Plumed, David Castellano-Falcón, Carlos Monserrat, José Hernández-Orallo

    DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
    Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei

    Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias
    Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel

  • Oral Session 4 @ Blue 3 | ML: Transparent, Interpretable, Explainable ML


    Blue 3

    View Papers
    { "name":"Oral Session 4 @ Blue 3 | ML: Transparent, Interpretable, Explainable ML", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Blue 3 | ML: Transparent, Interpretable, Explainable ML

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Trading Complexity for Sparsity in Random Forest Explanations
    Gilles Audemard, Steve Bellart, Lounès Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

    Constraint-Driven Explanations for Black-Box ML Models
    Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S. Meel, Joao Marques-Silva, Moshe Y. Vardi

    NoiseGrad — Enhancing Explanationsby Introducing Stochasticity to Model Weights
    Kirill Bykov, Anna Hedström, Shinichi Nakajima, Marina M.-C. Höhne

  • Oral Session 4 @ Blue 4 | SO: Heuristic Search; RU: Sequential Decision Making


    Blue 4

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    { "name":"Oral Session 4 @ Blue 4 | SO: Heuristic Search; RU: Sequential Decision Making", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Blue 4 | SO: Heuristic Search; RU: Sequential Decision Making

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Subset Approximation of Pareto Regions with Bi-Objective A*
    Jorge A. Baier, Carlos Hernández, Nicolás Rivera

    New Results in Bounded-Suboptimal Search
    Maximilian Fickert, Tianyi Gu, Wheeler Ruml

    An Online Learning Approach to Sequential User-Centric Selection Problems
    Junpu Chen, Hong Xie

  • Oral Session 4 @ Blue 5 | KRR: Argumentation and Logic Programming; ML: Verification


    Blue 5

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    { "name":"Oral Session 4 @ Blue 5 | KRR: Argumentation and Logic Programming; ML: Verification", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Blue 5 | KRR: Argumentation and Logic Programming; ML: Verification

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Rushing and Strolling among Answer Sets - Navigation Made Easy
    Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac

    GoTube: Scalable Statistical Verification of Continuous-Depth Models
    Sophie Gruenbacher, Mathias Lechner, Ramin Hasani, Daniela Rus, Thomas A Henzinger, Scott A. Smolka, Radu Grosu

    Machine Learning for Utility Prediction in Argument-Based Computational Persuasion
    Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni

  • Oral Session 4 @ Blue 6 | GTEP: Game Theory & Auctions


    Blue 6

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    { "name":"Oral Session 4 @ Blue 6 | GTEP: Game Theory & Auctions", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Blue 6 | GTEP: Game Theory & Auctions

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Hedonic Diversity Games: A Complexity Picture with More than Two Colors
    Robert Ganian, Thekla Hamm, Dušan Knop, Šimon Schierreich, Ondřej Suchý

    Online Elicitation of Necessarily Optimal Matchings
    Jannik Peters

    Efficiency of Ad Auctions with Price Displaying
    Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano

  • Oral Session 4 @ Red 1 | CMS: Cognitive Modeling; ROB: Navigation


    Red 1

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    { "name":"Oral Session 4 @ Red 1 | CMS: Cognitive Modeling; ROB: Navigation", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Red 1 | CMS: Cognitive Modeling; ROB: Navigation

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    CTIN: Robust Contextual Transformer Network for Inertial Navigation
    Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M Shila, Frank M. Tucker, Liqiang Wang

    Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders
    Abhishek Banerjee, Uttaran Bhattacharya, Aniket Bera

    Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents
    Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula

  • Oral Session 4 @ Red 2 | CV: Adversarial Attacks


    Red 2

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    { "name":"Oral Session 4 @ Red 2 | CV: Adversarial Attacks", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Red 2 | CV: Adversarial Attacks

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks
    Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu, Chonggang Wang

    LogicDef: An Interpretable Defense Framework Against Adversarial Examples via Inductive Scene Graph Reasoning
    Yuan Yang, James C Kerce, Faramarz Fekri

    DeformRS: Certifying Input Deformations with Randomized Smoothing
    Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem

  • Oral Session 4 @ Red 3 | MAS: Coordination & Foundations


    Red 3

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    { "name":"Oral Session 4 @ Red 3 | MAS: Coordination & Foundations", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Red 3 | MAS: Coordination & Foundations

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    MLink: Linking Black-Box Models for Collaborative Multi-Model Inference
    Mu Yuan, Lan Zhang, Xiang-Yang Li

    Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
    Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low

    Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics
    Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard E. Stearns, Anil Vullikanti

  • Oral Session 4 @ Red 4 | ML: Time-Series


    Red 4

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    { "name":"Oral Session 4 @ Red 4 | ML: Time-Series", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Red 4 | ML: Time-Series

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    First-Order Convex Fitting and Its Application to Economics and Optimization
    Quinlan Dawkins, Minbiao Han, Haifeng Xu

    Online Missing Value Imputation and Change Point Detection with the Gaussian Copula
    Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell

    TS2Vec: Towards Universal Representation of Time Series
    Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, Bixiong Xu

  • Oral Session 4 @ Red 5 | SNLP: Question Answering


    Red 5

    View Papers
    { "name":"Oral Session 4 @ Red 5 | SNLP: Question Answering", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Red 5 | SNLP: Question Answering

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
    Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi

    (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering
    Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux

    Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization
    Zi-Yi Dou, Nanyun (Violet) Peng

  • Oral Session 4 @ Red 6 | IAAI AI in Practice Panel: The Commercialization of AI in Health


    Red 6

    View Papers
    { "name":"Oral Session 4 @ Red 6 | IAAI AI in Practice Panel: The Commercialization of AI in Health", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "10:45", "endTime": "12:00", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 4 @ Red 6 | IAAI AI in Practice Panel: The Commercialization of AI in Health

    See the IAAI events page for details.

  • Oral Session 5 @ Blue 1 | ML: Online Learning & Bandits


    Blue 1

    View Papers
    { "name":"Oral Session 5 @ Blue 1 | ML: Online Learning & Bandits", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Blue 1 | ML: Online Learning & Bandits

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
    Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti

    Modeling Attrition in Recommender Systems with Departing Bandits
    Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour

    An Experimental Design Approach for Regret Minimization in Logistic Bandits
    Blake Mason, Kwang-Sung Jun, Lalit Jain

  • Oral Session 5 @ Blue 2 | ML: Privacy-Aware ML & Probabilistic Methods


    Blue 2

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    { "name":"Oral Session 5 @ Blue 2 | ML: Privacy-Aware ML & Probabilistic Methods", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Blue 2 | ML: Privacy-Aware ML & Probabilistic Methods

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Scaling Neural Program Synthesis with Distribution-Based Search
    Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Potta

    PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
    Praneeth Vepakomma, Julia Balla, Ramesh Raskar

    The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
    Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar

  • Oral Session 5 @ Blue 3 | ML: Transfer and Graph-based Learning


    Blue 3

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    { "name":"Oral Session 5 @ Blue 3 | ML: Transfer and Graph-based Learning", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Blue 3 | ML: Transfer and Graph-based Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
    Payam Karisani

    Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation
    Tong Chu, Yahao Liu, Jinhong Deng, Wen Li, Lixin Duan

    Graph Pointer Neural Networks
    Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

  • Oral Session 5 @ Blue 4 | ML: Bio-Inspired Learning; APP: Education


    Blue 4

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    { "name":"Oral Session 5 @ Blue 4 | ML: Bio-Inspired Learning; APP: Education", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Blue 4 | ML: Bio-Inspired Learning; APP: Education

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
    Wachirawit Ponghiran, Kaushik Roy

    SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks
    Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang

    Cross-Lingual Adversarial Domain Adaptation for Novice Programming
    Ye Mao, Farzaneh Khoshnevisan, Thomas Price, Tiffany Barnes, Min Chi

  • Oral Session 5 @ Blue 5 | DMKM: Data Compression, Graph Mining & Recommender Systems


    Blue 5

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    { "name":"Oral Session 5 @ Blue 5 | DMKM: Data Compression, Graph Mining & Recommender Systems", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Blue 5 | DMKM: Data Compression, Graph Mining & Recommender Systems

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Obtaining Calibrated Probabilities with Personalized Ranking Models
    Wonbin Kweon, SeongKu Kang, Hwanjo Yu

    Exploring Relational Semantics for Inductive Knowledge Graph Completion
    Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha

    OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression
    Linfeng Cao, Aofan Jiang, Wei Li, Huaying Wu, Nanyang Ye

  • Oral Session 5 @ Blue 6 | GTEP: Mechanism Design & Bayesian Methods


    Blue 6

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    { "name":"Oral Session 5 @ Blue 6 | GTEP: Mechanism Design & Bayesian Methods", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Blue 6 | GTEP: Mechanism Design & Bayesian Methods

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Planning with Participation Constraints
    Hanrui Zhang, Yu Cheng, Vincent Conitzer

    Bayesian Persuasion in Sequential Decision-Making
    Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla

    Strictly Proper Contract Functions Can Be Arbitrage-Free
    Eric Neyman, Tim Roughgarden

  • Oral Session 5 @ Red 1 | CV: Video Understanding & Tracking


    Red 1

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    { "name":"Oral Session 5 @ Red 1 | CV: Video Understanding & Tracking", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Red 1 | CV: Video Understanding & Tracking

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning
    Xiaoshan Yang, baochen xiong, Yi Huang, Changsheng Xu

    Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition
    Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding

    Reliable Propagation-Correction Modulation for Video Object Segmentation
    Xiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu

  • Oral Session 5 @ Red 2 | CV: Low Level & Physics-Based Vision


    Red 2

    View Papers
    { "name":"Oral Session 5 @ Red 2 | CV: Low Level & Physics-Based Vision", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Red 2 | CV: Low Level & Physics-Based Vision

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Learning from the Tangram to Solve Mini Visual Tasks
    Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu

    Towards End-to-End Image Compression and Analysis with Transformers
    Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao

    Uncertainty-Driven Dehazing Network
    Ming Hong, Jianzhuang Liu, Cuihua Li, Yanyun Qu

  • Oral Session 5 @ Red 3 | MAS: Multiagent Systems


    Red 3

    View Papers
    { "name":"Oral Session 5 @ Red 3 | MAS: Multiagent Systems", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Red 3 | MAS: Multiagent Systems

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    The Strange Role of Information Asymmetry in Auctions --- Does More Accurate Value Estimation Benefit A Bidder?
    Haifeng Xu, Ruggiero Cavallo

    Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems
    Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu

    Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs
    Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen

  • Oral Session 5 @ Red 4 | ML: Active and Semi-Supervised Learning


    Red 4

    View Papers
    { "name":"Oral Session 5 @ Red 4 | ML: Active and Semi-Supervised Learning", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Red 4 | ML: Active and Semi-Supervised Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Stationary Diffusion State Neural Estimation for Multiview Clustering
    Chenhua Liu, Zhuolin Liao, Ma Yixuan, Kun Zhan

    Not All Parameters Should be Treated Equally: Deep Safe Semi-Supervised Learning under Class Distribution Mismatch
    Rundong He, Zhongyi Han, Yang Yang, Yilong Yin

    Active Sampling for Text Classification with Subinstance Level Queries
    Shayok Chakraborty, Ankita Singh

  • Oral Session 5 @ Red 5 | SNLP: Adversarial Attacks, Generation & Psycholinguistics


    Red 5

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    { "name":"Oral Session 5 @ Red 5 | SNLP: Adversarial Attacks, Generation & Psycholinguistics", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Red 5 | SNLP: Adversarial Attacks, Generation & Psycholinguistics

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
    Hanjie Chen, Yangfeng Ji

    DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation
    Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang

    Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory
    Mengshi Ge, Rui Mao, Erik Cambria

  • Oral Session 5 @ Red 6 | AISI: Privacy, Disease Forecasting & Economic Impact


    Red 6

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    { "name":"Oral Session 5 @ Red 6 | AISI: Privacy, Disease Forecasting & Economic Impact", "description":"", "startDate":"02-25-2022", "endDate":"02-25-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 5 @ Red 6 | AISI: Privacy, Disease Forecasting & Economic Impact

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
    Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav Marathe

    COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
    Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee

    DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection
    Guang Yang, Juan Cao*, Qiang Sheng, Peng Qi, Xirong Li, Jintao Li

  • Oral Session 6 @ Blue 1 | ML: Reinforcement Learning & Bandits


    Blue 1

    View Papers
    { "name":"Oral Session 6 @ Blue 1 | ML: Reinforcement Learning & Bandits", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Blue 1 | ML: Reinforcement Learning & Bandits

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits
    Joel Chang, Vincent Tan

    Natural Black-Box Adversarial Examples Against Deep Reinforcement Learning
    Mengran Yu, Shiliang Sun

    Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation
    Alexander Long, Alan Blair, Herke van Hoof

  • Oral Session 6 @ Blue 2 | CV: Biometrics & Language


    Blue 2

    View Papers
    { "name":"Oral Session 6 @ Blue 2 | CV: Biometrics & Language", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Blue 2 | CV: Biometrics & Language

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face Recognition
    Ge Yuan, Huicheng Zheng, Jiayu Dong

    UNISON: Unpaired Cross-Lingual Image Captioning
    Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq Joty, Jiuxiang Gu

    Patch Diffusion: A General Module for Face Manipulation Detection
    Baogen Zhang, Sheng Li, Guorui Feng, Zhenxing Qian, Xinpeng Zhang

  • Oral Session 6 @ Blue 3 | ML: Adversarial, Graph-based & Representation Learning


    Blue 3

    View Papers
    { "name":"Oral Session 6 @ Blue 3 | ML: Adversarial, Graph-based & Representation Learning", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Blue 3 | ML: Adversarial, Graph-based & Representation Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
    Christian Schilling, Marcelo Forets, Sebastián Guadalupe

    TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
    Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu

    ER: Equivariance Regularizer for Knowledge Graph Completion
    Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

  • Oral Session 6 @ Blue 4 | CSO: Constraint Optimization & Satisfiability


    Blue 4

    View Papers
    { "name":"Oral Session 6 @ Blue 4 | CSO: Constraint Optimization & Satisfiability", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Blue 4 | CSO: Constraint Optimization & Satisfiability

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Optimizing Binary Decision Diagrams with MaxSAT for classification
    Hao Hu, Mohamed Siala, Marie-José Huguet

    Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study
    Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi

    On Probabilistic Generalization of Backdoors in Boolean Satisfiability
    Alexander Semenov, Artem Pavlenko, Daniil Chivilikhin, Stepan Kochemazov

  • Oral Session 6 @ Blue 5 | DMKM: Spatio-Temporal Data; ML: Continual Learning


    Blue 5

    View Papers
    { "name":"Oral Session 6 @ Blue 5 | DMKM: Spatio-Temporal Data; ML: Continual Learning", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Blue 5 | DMKM: Spatio-Temporal Data; ML: Continual Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events
    Tyler Wilson, Pang-Ning Tan, Lifeng Luo

    Continual Learning Through Retrieval and Imagination
    Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao

    HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
    Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi

  • Oral Session 6 @ Blue 6 | GTEP: Social Choice / Voting


    Blue 6

    View Papers
    { "name":"Oral Session 6 @ Blue 6 | GTEP: Social Choice / Voting", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Blue 6 | GTEP: Social Choice / Voting

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Liquid Democracy with Ranked Delegations
    Markus Brill, Théo Delemazure, Anne-Marie George, Martin Lackner, Ulrike Schmidt-Kraepelin

    Sequential Blocked Matching
    Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh

    The Complexity of Subelection Isomorphism Problems
    Piotr Faliszewski, Krzysztof Sornat, Stanisław Szufa

  • Oral Session 6 @ Red 1 | RU: Bayesian Networks and Uncertainty Representations; CV: Explainability


    Red 1

    View Papers
    { "name":"Oral Session 6 @ Red 1 | RU: Bayesian Networks and Uncertainty Representations; CV: Explainability", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Red 1 | RU: Bayesian Networks and Uncertainty Representations; CV: Explainability

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Logic Rule Guided Attribution with Dynamic Ablation
    Jianqiao An, Yuandu Lai, Yahong Han

    Learning Bayesian Networks in the Presence of Structural Side Information
    Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

    Entropy Estimation via Normalizing Flow
    Ziqiao Ao, Jinglai Li

  • Oral Session 6 @ Red 2 | CV: 3D Computer Vision; KRR: Knowledge Representation Languages


    Red 2

    View Papers
    { "name":"Oral Session 6 @ Red 2 | CV: 3D Computer Vision; KRR: Knowledge Representation Languages", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Red 2 | CV: 3D Computer Vision; KRR: Knowledge Representation Languages

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation
    Shidi Li, Miaomiao Liu, Christian Walder

    DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer
    Buyu Li, yongchi zhao, Shi Zhelun, Lu Sheng

    Tractable Explanations for d-DNNF Classifiers
    Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C Cooper, Nicholas Asher, Joao Marques-Silva

  • Oral Session 6 @ Red 3 | CV: Representation Learning & Object Detection


    Red 3

    View Papers
    { "name":"Oral Session 6 @ Red 3 | CV: Representation Learning & Object Detection", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Red 3 | CV: Representation Learning & Object Detection

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Neighborhood-Adaptive Structure Augmented Metric Learning
    Pandeng Li, Yan Li, Hongtao Xie, Lei Zhang

    Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
    Longhui Wei, Lingxi Xie, Jianzhong He, xiaopeng zhang, Qi Tian

    Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory
    Jung Uk Kim, Sungjune Park, Yong Man Ro

  • Oral Session 6 @ Red 4 | CV: Multimodal Vision & Language


    Red 4

    View Papers
    { "name":"Oral Session 6 @ Red 4 | CV: Multimodal Vision & Language", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Red 4 | CV: Multimodal Vision & Language

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning
    Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai, Juncheng Li, Sihui Luo, Yueting Zhuang

    Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective.
    Emmanuelle Salin, Badreddine Farah, Stéphane Ayache, Benoit Favre

    Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
    Junbin Xiao, Angela Yao, Liu Zhiyuan, Yicong Li, Wei Ji, Tat-Seng Chua

  • Oral Session 6 @ Red 5 | SNLP: Machine Translation & Multimodality


    Red 5

    View Papers
    { "name":"Oral Session 6 @ Red 5 | SNLP: Machine Translation & Multimodality", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Red 5 | SNLP: Machine Translation & Multimodality

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects
    Bianca Scarlini, Tommaso Pasini, Roberto Navigli

    Parameter Differentiation Based Multilingual Neural Machine Translation
    Qian Wang, Jiajun Zhang

    Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
    Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li

  • Oral Session 6 @ Red 6 | APP: Security & Transportation


    Red 6

    View Papers
    { "name":"Oral Session 6 @ Red 6 | APP: Security & Transportation", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 6 @ Red 6 | APP: Security & Transportation

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control
    Enming Liang, Zicheng Su, Chilin Fang, Renxin Zhong

    Deepfake Network Architecture Attribution
    Tianyun Yang, Ziyao Huang, Juan Cao, Lei Li, Xirong Li

    NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search
    Wanqi Xue, Bo An, Chai Kiat Yeo

  • Oral Session 7 @ Blue 1 | ML: Reinforcement Learning


    Blue 1

    View Papers
    { "name":"Oral Session 7 @ Blue 1 | ML: Reinforcement Learning", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Blue 1 | ML: Reinforcement Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
    Aviv Tamar, Daniel Soudry, Ev Zisselman

    Curiosity-Driven Exploration via Latent Bayesian Surprise
    Pietro Mazzaglia, Ozan Catal, Tim Verbelen, Bart Dhoedt

    Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning
    Giseung Park, Sungho Choi, Youngchul Sung

  • Oral Session 7 @ Blue 2 | ML: Lifelong and Continual Learning


    Blue 2

    View Papers
    { "name":"Oral Session 7 @ Blue 2 | ML: Lifelong and Continual Learning", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Blue 2 | ML: Lifelong and Continual Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Adaptive Orthogonal Projection for Continual Learning
    Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu

    Learngene: From Open-World to Your Learning Task
    Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu

    Same State, Different Task: Continual Reinforcement Learning without Interference
    Samuel Kessler, Jack Parker-Holder, Philip Ball, Stefan Zohren, Stephen J. Roberts

  • Oral Session 7 @ Blue 3 | ML: Relational & Bayesian Learning


    Blue 3

    View Papers
    { "name":"Oral Session 7 @ Blue 3 | ML: Relational & Bayesian Learning", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Blue 3 | ML: Relational & Bayesian Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Temporal Knowledge Graph Completion Using Box Embeddings
    Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan

    How Good Are Low-Rank Approximations in Gaussian Process Regression?
    Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos

    Learning Logic Programs Though Divide, Constrain, and Conquer
    Andrew Cropper

  • Oral Session 7 @ Blue 4 | APP: Bioinformatics & Natural Sciences


    Blue 4

    View Papers
    { "name":"Oral Session 7 @ Blue 4 | APP: Bioinformatics & Natural Sciences", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Blue 4 | APP: Bioinformatics & Natural Sciences

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations
    Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li

    KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-Zero Training Loss
    Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi

    RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning
    Hansheng Xue, Vijini G Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin

  • Oral Session 7 @ Blue 5 | KRR: Argumentation


    Blue 5

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    { "name":"Oral Session 7 @ Blue 5 | KRR: Argumentation", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Blue 5 | KRR: Argumentation

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Conditional Abstract Dialectical Frameworks
    Jesse Heyninck, Matthias Thimm, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba

    Tractable Abstract Argumentation via Backdoor-Treewidth
    Wolfgang Dvořak, Markus Hecher, Matthias König, André Schidler, Stefan Szeider, Stefan Woltran

    Equivalence in Argumentation Frameworks with a Claim-Centric View – Classical Results with Novel Ingredients
    Ringo Baumann, Anna Rapberger, Markus Ulbricht

  • Oral Session 7 @ Blue 6 | Senior Member Track: Markets & Applications


    Blue 6

    View Papers
    { "name":"Oral Session 7 @ Blue 6 | Senior Member Track: Markets & Applications", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Blue 6 | Senior Member Track: Markets & Applications

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Local Justice and the Algorithmic Allocation of Scarce Societal Resources
    Sanmay Das

    Consent as a Foundation for Responsible Autonomy
    Munindar Singh

    Market Design for Drone Traffic Management
    Sven Seuken, Paul Friedrich, Ludwig Dierks

  • Oral Session 7 @ Red 1 | HAI: Humans and AI


    Red 1

    View Papers
    { "name":"Oral Session 7 @ Red 1 | HAI: Humans and AI", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Red 1 | HAI: Humans and AI

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Adversarial Learning from Crowds
    Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen

    Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
    Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang

    Deceptive Decision-Making under Uncertainty
    Yagiz Savas, Christos K. Verginis, Ufuk Topcu

  • Oral Session 7 @ Red 2 | KRR: Logic Programming


    Red 2

    View Papers
    { "name":"Oral Session 7 @ Red 2 | KRR: Logic Programming", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Red 2 | KRR: Logic Programming

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Compilation of Aggregates in ASP Systems
    Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro

    Large-Neighbourhood Search for Optimisation in Answer-Set Solving
    Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, Daria Stepanova

    Inference and Learning with Model Uncertainty in Probabilistic Logic Programs
    Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt

  • Oral Session 7 @ Red 3 | CV: Segmentation & Video Understanding


    Red 3

    View Papers
    { "name":"Oral Session 7 @ Red 3 | CV: Segmentation & Video Understanding", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Red 3 | CV: Segmentation & Video Understanding

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Active Boundary Loss for Semantic Segmentation
    Chi Wang, Yunke Zhang, Miaomiao Cui, Peiran Ren, Yin Yang, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Weiwei Xu

    Decompose the Sounds and Pixels, Recompose the Events
    Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu

    DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation
    Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, Ying Tai

  • Oral Session 7 @ Red 4 | CV: Language and Vision


    Red 4

    View Papers
    { "name":"Oral Session 7 @ Red 4 | CV: Language and Vision", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Red 4 | CV: Language and Vision

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Playing Lottery Tickets with Vision and Language
    Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu

    TEACh: Task-Driven Embodied Agents that Chat
    Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gokhan Tur, Dilek Hakkani-Tur

    Clinical-BERT: Vision-Language Pre-Training for Radiograph Diagnosis and Reports Generation
    Bin Yan, Mingtao Pei

  • Oral Session 7 @ Red 5 | SNLP: Language Models & Generation


    Red 5

    View Papers
    { "name":"Oral Session 7 @ Red 5 | SNLP: Language Models & Generation", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Red 5 | SNLP: Language Models & Generation

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding
    Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker, Kavitha Srinivas

    InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
    Pierre Colombo, Chloé Clavel, Pablo Piantanida

    Probing Linguistic Information for Logical Inference In Pre-Trained Language Models
    Zeming Chen, Qiyue Gao

  • Oral Session 7 @ Red 6 | IAAI AI in Practice Panel: Applications and Implications of Deep AI for Personalizing Health Interventions


    Red 6

    View Papers
    { "name":"Oral Session 7 @ Red 6 | IAAI AI in Practice Panel: Applications and Implications of Deep AI for Personalizing Health Interventions", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 7 @ Red 6 | IAAI AI in Practice Panel: Applications and Implications of Deep AI for Personalizing Health Interventions

    See the IAAI events page for details.

  • Oral Session 8 @ Blue 1 | ML: Graph-based ML & Reinforcement Learning


    Blue 1

    View Papers
    { "name":"Oral Session 8 @ Blue 1 | ML: Graph-based ML & Reinforcement Learning", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Blue 1 | ML: Graph-based ML & Reinforcement Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
    Thilini Cooray, Ngai-Man Cheung

    Meta Label Propagation for Few-Shot Semi-Supervised Learning on Graphs
    Kaize Ding, Jianling Wang, James Caverlee, Huan Liu

    SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning
    Hongyu Zang, Xin Li, Mingzhong Wang

  • Oral Session 8 @ Blue 2 | ML: Graph-based ML


    Blue 2

    View Papers
    { "name":"Oral Session 8 @ Blue 2 | ML: Graph-based ML", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Blue 2 | ML: Graph-based ML

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Graph Neural Controlled Differential Equations for Traffic Forecasting
    Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park

    KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
    Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas

    Simple Unsupervised Graph Representation Learning
    Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

  • Oral Session 8 @ Blue 3 | ML: Federated Learning & Learning on the Edge


    Blue 3

    View Papers
    { "name":"Oral Session 8 @ Blue 3 | ML: Federated Learning & Learning on the Edge", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Blue 3 | ML: Federated Learning & Learning on the Edge

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Distributed Learning with Strategic Users: A Repeated Game Approach
    Abdullah Basar Akbay, Junshan Zhang

    SplitFed: When Federated Learning Meets Split Learning
    Chandra Thapa, M.A.P. Chamikara , Seyit Camtepe, Lichao Sun

    Multi-Scale Distillation from Multiple Graph Neural Networks
    Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang

  • Oral Session 8 @ Blue 4 | CSO: Constraint Programming; RU: Relational Probabilistic Models


    Blue 4

    View Papers
    { "name":"Oral Session 8 @ Blue 4 | CSO: Constraint Programming; RU: Relational Probabilistic Models", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Blue 4 | CSO: Constraint Programming; RU: Relational Probabilistic Models

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework
    Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina

    The SoftCumulative Constraint with Quadratic Penalty
    Yanick Ouellet, Claude-Guy Quimper

    Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula
    Sagar Malhotra, Luciano Serafini

  • Oral Session 8 @ Blue 5 | KRR: Knowledge Representation Languages


    Blue 5

    View Papers
    { "name":"Oral Session 8 @ Blue 5 | KRR: Knowledge Representation Languages", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Blue 5 | KRR: Knowledge Representation Languages

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Axiomatization of Aggregates in Answer Set Programming
    Jorge Fandinno, Zach Hansen, Yuliya Lierler

    How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
    Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li

    Knowledge Compilation Meets Logical Separability
    Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Qian Dong

  • Oral Session 8 @ Blue 6 | GTEP: Fair Division & Voting


    Blue 6

    View Papers
    { "name":"Oral Session 8 @ Blue 6 | GTEP: Fair Division & Voting", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Blue 6 | GTEP: Fair Division & Voting

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Almost Full EFX Exists for Four Agents
    Ben Berger, Avi Cohen, Michal Feldman, Amos Fiat

    A Little Charity Guarantees Fair Connected Graph Partitioning
    Ioannis Caragiannis, Evi Micha, Nisarg Shah

    How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
    Manon Revel, Tao Lin, Daniel Halpern

  • Oral Session 8 @ Red 1 | CV: Synthesis & Retrieval


    Red 1

    View Papers
    { "name":"Oral Session 8 @ Red 1 | CV: Synthesis & Retrieval", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Red 1 | CV: Synthesis & Retrieval

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    PetsGAN: Rethinking Priors for Single Image Generation
    Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou

    Assessing a Single Image in Reference-Guided Image Synthesis
    Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang

    Learning Token-Based Representation for Image Retrieval
    Hui Wu, Min Wang, Wengang Zhou, Yang Hu, Houqiang Li

  • Oral Session 8 @ Red 2 | CV: 3D Computer Vision


    Red 2

    View Papers
    { "name":"Oral Session 8 @ Red 2 | CV: 3D Computer Vision", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Red 2 | CV: 3D Computer Vision

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    MMA: Multi-Camera Based Global Motion Averaging
    Hainan Cui, Shuhan Shen

    Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function
    Yunze Xiao, Hao Zhu, Haotian Yang, Zhengyu Diao, Xiangju Lu, Xun Cao

    DuMLP-Pin: A Dual-MLP-Dot-Product Permutation-Invariant Network for Set Feature Extraction
    Jiajun Fei, Ziyu Zhu, Wenlei Liu, Zhidong Deng, Mingyang Li, Huanjun Deng, Shuo Zhang

  • Oral Session 8 @ Red 3 | CV: Low Level Vision & Learning and Optimization


    Red 3

    View Papers
    { "name":"Oral Session 8 @ Red 3 | CV: Low Level Vision & Learning and Optimization", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Red 3 | CV: Low Level Vision & Learning and Optimization

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers
    Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian

    Proximal PanNet: A Model-Based Deep Network for Pansharpening
    Xiangyong Cao, yang chen, Wenfei Cao

    Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation
    Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang

  • Oral Session 8 @ Red 4 | SNLP: Language Models & Sentiment Analysis


    Red 4

    View Papers
    { "name":"Oral Session 8 @ Red 4 | SNLP: Language Models & Sentiment Analysis", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Red 4 | SNLP: Language Models & Sentiment Analysis

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    JAKET: Joint Pre-Training of Knowledge Graph and Language Understanding
    Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng

    Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies
    Abdullah Albanyan, Eduardo Blanco

    Language Modelling via Learning to Rank
    Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz

  • Oral Session 8 @ Red 5 | SNLP: Conversational AI


    Red 5

    View Papers
    { "name":"Oral Session 8 @ Red 5 | SNLP: Conversational AI", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Red 5 | SNLP: Conversational AI

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Fusing task-oriented and open-domain dialogues in conversational agents
    Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria

    Dual Task Framework for Improving Persona-Grounded Dialogue Dataset
    Minju Kim, Beong-Woo Kwak, Youngwook Kim, Hong-In Lee, Seung-Won Hwang, Jinyoung Yeo

    Text is No More Enough! A Benchmark for Profile-Based Spoken Language Understanding
    Xiao Xu, Libo Qin, Kaiji Chen, Guoxing Wu, Linlin Li, Wanxiang Che, Ting Liu

  • Oral Session 8 @ Red 6 | IAAI: Commerce, Transportation, Tools, Finance/Insurance, Design, NLP and Documents, Cybersecurity


    Red 6

    View Papers
    { "name":"Oral Session 8 @ Red 6 | IAAI: Commerce, Transportation, Tools, Finance/Insurance, Design, NLP and Documents, Cybersecurity", "description":"", "startDate":"02-26-2022", "endDate":"02-26-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 8 @ Red 6 | IAAI: Commerce, Transportation, Tools, Finance/Insurance, Design, NLP and Documents, Cybersecurity

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Speakers TBA

  • Oral Session 9 @ Blue 1 | PRS: Planning under Uncertainty & Routing


    Blue 1

    View Papers
    { "name":"Oral Session 9 @ Blue 1 | PRS: Planning under Uncertainty & Routing", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Blue 1 | PRS: Planning under Uncertainty & Routing

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Online Search with Best-Price and Query-Based Predictions
    Spyros Angelopoulos, Shahin Kamali, Dehou Zhang

    Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
    Siow Meng Low, Akshat Kumar, Scott Sanner

    Learning to Solve Routing Problems via Distributionally Robust Optimization
    Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang

  • Oral Session 9 @ Blue 2 | ML: Active Learning & Classification


    Blue 2

    View Papers
    { "name":"Oral Session 9 @ Blue 2 | ML: Active Learning & Classification", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Blue 2 | ML: Active Learning & Classification

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
    Xin Qiu, Risto Miikkulainen

    Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
    Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying

    Bayesian Optimization over Permutation Spaces
    Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim

  • Oral Session 9 @ Blue 3 | ML: Causal Learning & Transparent ML


    Blue 3

    View Papers
    { "name":"Oral Session 9 @ Blue 3 | ML: Causal Learning & Transparent ML", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Blue 3 | ML: Causal Learning & Transparent ML

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Causal Discovery in Hawkes Processes by Minimum Description Length
    Amirkarsa Jalaldoust, Katerina Hlavackova-Schindler, Claudia Plant

    On the Fairness of Causal Algorithmic Recourse
    Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf

    Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
    Rui Zhang, Shihua Zhang

  • Oral Session 9 @ Blue 4 | CSO: Satisfiability


    Blue 4

    View Papers
    { "name":"Oral Session 9 @ Blue 4 | CSO: Satisfiability", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Blue 4 | CSO: Satisfiability

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Undercover Boolean Matrix Factorization with MaxSAT
    Florent Avellaneda, Roger Villemaire

    Using MaxSAT for Efficient Explanations of Tree Ensembles
    Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, Joao Marques-Silva

    Analysis of Pure Literal Elimination Rule for Non-Uniform Random (MAX) k-SAT Problem with an Arbitrary Degree Distribution
    Oleksii Omelchenko, Andrei A. Bulatov

  • Oral Session 9 @ Blue 5 | DMKM: Graph Mining


    Blue 5

    View Papers
    { "name":"Oral Session 9 @ Blue 5 | DMKM: Graph Mining", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Blue 5 | DMKM: Graph Mining

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Graph Structure Learning with Variational Information Bottleneck
    Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S Yu

    A Self-Supervised Mixed-Curvature Graph Neural Network
    Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu

    Block Modeling-Guided Graph Convolutional Neural Networks
    Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng

  • Oral Session 9 @ Blue 6 | MAS/CV: Adversarial Elements


    Blue 6

    View Papers
    { "name":"Oral Session 9 @ Blue 6 | MAS/CV: Adversarial Elements", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Blue 6 | MAS/CV: Adversarial Elements

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation
    Lukas Chrpa, Pavel Rytir, Rostislav Horčík, Stefan Edelkamp

    Adversarial Robustness in Multi-Task Learning: Promises and Illusions
    Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon

    Fixation Maximization in the Positional Moran Process
    Joachim Brendborg, Panagiotis Karras, Andreas Pavlogiannis, Asger Ullersted Rasmussen, Josef Tkadlec

  • Oral Session 9 @ Red 1 | CV: Motion & Tracking


    Red 1

    View Papers
    { "name":"Oral Session 9 @ Red 1 | CV: Motion & Tracking", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Red 1 | CV: Motion & Tracking

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Homography Decomposition Networks for Planar Object Tracking
    Xinrui Zhan, Yang Li, Yueran Liu, Jianke Zhu

    Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation
    Shili Zhou, Weimin Tan, Bo Yan

    Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints
    Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan

  • Oral Session 9 @ Red 2 | CV: Medical Imaging, Segmentation & Interpretability


    Red 2

    View Papers
    { "name":"Oral Session 9 @ Red 2 | CV: Medical Imaging, Segmentation & Interpretability", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Red 2 | CV: Medical Imaging, Segmentation & Interpretability

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis
    Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang

    Interpretable Generative Adversarial Networks
    Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang

    Energy-Based Generative Cooperative Saliency Prediction
    Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes

  • Oral Session 9 @ Red 3 | CV: Object Detection & Categorization


    Red 3

    View Papers
    { "name":"Oral Session 9 @ Red 3 | CV: Object Detection & Categorization", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Red 3 | CV: Object Detection & Categorization

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Unbiased IoU for Spherical Image Object Detection
    Feng Dai, Bin Chen, Hang Xu,The Institute of Computing Technology of the Chinese Academy of Sciences)ICT)Huawei Noah's Ark Lab)Huawei Technologies Co., Ltd)Huawei Noah’s Ark Lab)Hangzhou Dianzi University)The Institute of Computing Technology of the Chinese Academy of Sciences)*

    SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation
    Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan YUAN

    Dual Attention Networks for Few-Shot Fine-Grained Recognition
    Shu-Lin Xu, Faen Zhang, Xiu-Shen Wei, Jianhua Wang

  • Oral Session 9 @ Red 4 | CV: Language & Segmentation


    Red 4

    View Papers
    { "name":"Oral Session 9 @ Red 4 | CV: Language & Segmentation", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Red 4 | CV: Language & Segmentation

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-Directional Mutual Learning
    Xiaohang Bian, Bo Qin, Xiaozhe Xin, Jianwu Li, Xuefeng Su, Yanfeng Wang

    Deconfounded Visual Grounding
    Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang

    Inharmonious Region Localization by Magnifying Domain Discrepancy
    Jing Liang, Li Niu, Penghao Wu, Fengjun Guo, Teng Long

  • Oral Session 9 @ Red 5 | SNLP: Sentence-Level Semantics


    Red 5

    View Papers
    { "name":"Oral Session 9 @ Red 5 | SNLP: Sentence-Level Semantics", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Red 5 | SNLP: Sentence-Level Semantics

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration
    Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas

    StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
    Zhengxiang Shi, Qiang Zhang, Aldo Lipani

    Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
    Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein

  • Oral Session 9 @ Red 6 | IAAI: Ecology, Healthcare, Monitoring and Control


    Red 6

    View Papers
    { "name":"Oral Session 9 @ Red 6 | IAAI: Ecology, Healthcare, Monitoring and Control", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 9 @ Red 6 | IAAI: Ecology, Healthcare, Monitoring and Control

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Speakers TBA

  • Oral Session 10 @ Blue 1 | ML: Bias and Fairness & Learning Theory


    Blue 1

    View Papers
    { "name":"Oral Session 10 @ Blue 1 | ML: Bias and Fairness & Learning Theory", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Blue 1 | ML: Bias and Fairness & Learning Theory

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Learning Losses for Strategic Classification
    Tosca Lechner, Ruth Urner

    Achieving Long-Term Fairness in Sequential Decision Making
    Yaowei Hu, Lu Zhang

    Achieving Counterfactual Fairness for Causal Bandit
    Wen Huang, Lu Zhang, Xintao Wu

  • Oral Session 10 @ Blue 2 | ML: Optimization & Applications


    Blue 2

    View Papers
    { "name":"Oral Session 10 @ Blue 2 | ML: Optimization & Applications", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Blue 2 | ML: Optimization & Applications

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Zeroth-Order Optimization for Composite Problems with Functional Constraints
    Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

    Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence
    Alina Ene, Huy L. Nguyen

    Conditional Generative Model Based Predicate-Aware Query Approximation
    Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup Rao, Vikas Maddukuri

  • Oral Session 10 @ Blue 3 | ML: Distributed Machine Learning & Federated Learning


    Blue 3

    View Papers
    { "name":"Oral Session 10 @ Blue 3 | ML: Distributed Machine Learning & Federated Learning", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Blue 3 | ML: Distributed Machine Learning & Federated Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
    Yichen Ruan, Carlee Joe-Wong

    Coordinating Momenta for Cross-Silo Federated Learning
    An Xu, Heng Huang

    FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates
    Bo Zhao, Peng Sun, Tao Wang, Keyu Jiang

  • Oral Session 10 @ Blue 4 | CSO: Mixed Discrete/Continuous Optimization & Constraint Learning


    Blue 4

    View Papers
    { "name":"Oral Session 10 @ Blue 4 | CSO: Mixed Discrete/Continuous Optimization & Constraint Learning", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Blue 4 | CSO: Mixed Discrete/Continuous Optimization & Constraint Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    GEQCA: Generic Qualitative Constraint Acquisition
    Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker

    MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
    Elias B. Khalil, Christopher Morris, Andrea Lodi

    Learning to Search in Local Branching
    Defeng Liu, Matteo Fischetti, Andrea Lodi

  • Oral Session 10 @ Blue 5 | PEAI: Fairness, Privacy & Robustness


    Blue 5

    View Papers
    { "name":"Oral Session 10 @ Blue 5 | PEAI: Fairness, Privacy & Robustness", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Blue 5 | PEAI: Fairness, Privacy & Robustness

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations
    Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha

    Subspace Differential Privacy
    Jie Gao, Ruobin Gong, Fang-Yi Yu

    Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness
    Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt

  • Oral Session 10 @ Blue 6 | GTEP: Social Choice / Voting & Cooperative Game Theory


    Blue 6

    View Papers
    { "name":"Oral Session 10 @ Blue 6 | GTEP: Social Choice / Voting & Cooperative Game Theory", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Blue 6 | GTEP: Social Choice / Voting & Cooperative Game Theory

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Single-Agent Dynamics in Additively Separable Hedonic Games
    Felix Brandt, Martin Bullinger, Leo Tappe

    Complexity of Deliberative Coalition Formation
    Edith Elkind, Abheek Ghosh, Paul Goldberg

    Individual Representation in Approval-Based Committee Voting
    Markus Brill, Jonas Israel, Evi Micha, Jannik Peters

  • Oral Session 10 @ Red 1 | ML: Privacy-Aware, Transfer and Representation Learning


    Red 1

    View Papers
    { "name":"Oral Session 10 @ Red 1 | ML: Privacy-Aware, Transfer and Representation Learning", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Red 1 | ML: Privacy-Aware, Transfer and Representation Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Learning to Transfer with von Neumann Conditional Divergence
    Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio

    Geometry Interaction Knowledge Graph Embeddings
    Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

    How Private Is Your RL Policy? An Inverse RL Based Analysis Framework
    Kritika Prakash, Fiza Husain, Praveen Paruchuri, Sujit Gujar

  • Oral Session 10 @ Red 2 | CV: Medical Imaging & Biometrics


    Red 2

    View Papers
    { "name":"Oral Session 10 @ Red 2 | CV: Medical Imaging & Biometrics", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Red 2 | CV: Medical Imaging & Biometrics

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-Identification
    Ammarah Farooq, Muhammad Awais, Josef Kittler, Syed Safwan Khalid

    Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
    Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison

    Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
    Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou

  • Oral Session 10 @ Red 3 | CV: Synthesis & Vision for Robotics


    Red 3

    View Papers
    { "name":"Oral Session 10 @ Red 3 | CV: Synthesis & Vision for Robotics", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Red 3 | CV: Synthesis & Vision for Robotics

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation
    Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao

    Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting
    Huangjie Yu, Anpei Chen, Xin Chen, Lan Xu, Ziyu Shao, Jingyi Yu

    Model-Based Image Signal Processors via Learnable Dictionaries
    Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Aleš Leonardis, Eduardo Pérez-Pellitero

  • Oral Session 10 @ Red 4 | ML: Multimodal & Multi-Instance Learning


    Red 4

    View Papers
    { "name":"Oral Session 10 @ Red 4 | ML: Multimodal & Multi-Instance Learning", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Red 4 | ML: Multimodal & Multi-Instance Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Robust Graph-Based Multi-View Clustering
    Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

    BM-NAS: Bilevel Multimodal Neural Architecture Search
    Yihang Yin, Siyu Huang, Xiang Zhang

    Frozen Pretrained Transformers as Universal Computation Engines
    Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch

  • Oral Session 10 @ Red 5 | Senior Member Track: Vision & NLP


    Red 5

    View Papers
    { "name":"Oral Session 10 @ Red 5 | Senior Member Track: Vision & NLP", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Red 5 | Senior Member Track: Vision & NLP

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities
    Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov

    Expert-Informed, User-Centric Explanations for Machine Learning
    Michael Pazzani, Severine Soltani, Robert Kaufman, Samson Qian, Albert Hsiao

    BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers
    Roberto Navigli, Rexhina Blloshmi, Abelardo Carlos Martínez Lorenzo

  • Oral Session 10 @ Red 6 | AISI: Health and Well-Being


    Red 6

    View Papers
    { "name":"Oral Session 10 @ Red 6 | AISI: Health and Well-Being", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "10:30", "endTime": "11:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 10 @ Red 6 | AISI: Health and Well-Being

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    A Search Engine for Discovery of Scientific Challenges and Directions
    Dan Lahav, Jon Saad Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope

    Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
    Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe

    Optimal Local Explainer Aggregation for Interpretable Prediction
    Qiaomei Li, Rachel Cummings, Yonatan Mintz

  • Oral Session 11 @ Blue 1 | Senior Member Track: Frontiers of AI Applications


    Blue 1

    View Papers
    { "name":"Oral Session 11 @ Blue 1 | Senior Member Track: Frontiers of AI Applications", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Blue 1 | Senior Member Track: Frontiers of AI Applications

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Toward a New Science of Common Sense
    Ron Brachman, Hector Levesque

    Winning the DARPA Grand Challenge with an AI Robot (Classic Paper Award)
    Michael Montemerlo, Sebastian Thrun, Hendrik Dahlkamp, David Stavens, And Sven Strohband

  • Oral Session 11 @ Blue 2 | ML: Deep Neural Networks


    Blue 2

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    { "name":"Oral Session 11 @ Blue 2 | ML: Deep Neural Networks", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Blue 2 | ML: Deep Neural Networks

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Lifelong Generative Modelling Using Dynamic Expansion Graph Model
    Fei Ye, Adrian G. Bors

    Disentangled Spatiotemporal Graph Generative Model
    Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Zhao Liang

    Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing
    Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

  • Oral Session 11 @ Blue 3 | ML: Clustering


    Blue 3

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    { "name":"Oral Session 11 @ Blue 3 | ML: Clustering", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Blue 3 | ML: Clustering

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Modification-Fair Cluster Editing
    Vincent Froese, Leon Kellerhals, Rolf Niedermeier

    Linearity-Aware Subspace Clustering
    Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian

    Multi-View Clustering on Topological Manifold
    Shudong Huang, Ivor Tsang, Zenglin Xu, Jiancheng Lv, Quan-Hui Liu

  • Oral Session 11 @ Blue 4 | CV: Interpretable, Low Level and Multimodal Vision


    Blue 4

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    { "name":"Oral Session 11 @ Blue 4 | CV: Interpretable, Low Level and Multimodal Vision", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Blue 4 | CV: Interpretable, Low Level and Multimodal Vision

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Multi-Modal Answer Validation for Knowledge-Based VQA
    Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi

    Towards Bridging Sample Complexity and Model Capacity
    Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni

    Perceptual Quality Assessment of Omnidirectional Images
    Yuming Fang, Liping Huang, Jiebin Yan, Xuelin Liu, Yang Liu

  • Oral Session 11 @ Blue 5 | DMKM: Recommender Systems


    Blue 5

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    { "name":"Oral Session 11 @ Blue 5 | DMKM: Recommender Systems", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Blue 5 | DMKM: Recommender Systems

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Low-Pass Graph Convolutional Network for Recommendation
    Wenhui Yu, Zixin Zhang, Zheng Qin

    DiPS: Differentiable Policy for Sketching in Recommender Systems
    Aritra Ghosh, Saayan Mitra, Andrew Lan

    SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation
    Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu

  • Oral Session 11 @ Blue 6 | GTEP: Game Theory


    Blue 6

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    { "name":"Oral Session 11 @ Blue 6 | GTEP: Game Theory", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Blue 6 | GTEP: Game Theory

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    The Secretary Problem with Competing Employers on Random Edge Arrivals
    Xiaohui Bei, Shengyu Zhang

    Algorithmic Bayesian Persuasion with Combinatorial Actions
    Kaito Fujii, Shinsaku Sakaue

    AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms
    Hang Xu, Kai Li*, Haobo Fu, Qiang Fu, Junliang Xing

  • Oral Session 11 @ Red 1 | CV: Object Detection & 3D CV


    Red 1

    View Papers
    { "name":"Oral Session 11 @ Red 1 | CV: Object Detection & 3D CV", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Red 1 | CV: Object Detection & 3D CV

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    UFPMP-Det:Toward Accurate and Efficient Object Detection on Drone Imagery
    Yecheng Huang, Jiaxin Chen, Di Huang

    Towards Light-Weight and Real-Time Line Segment Detection
    Geonmo Gu, Byungsoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin

    Deep Confidence Guided Distance for 3D Partial Shape Registration
    Dvir Ginzburg, Dan Raviv

  • Oral Session 11 @ Red 2 | CV: Language & Adversarial Attacks


    Red 2

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    { "name":"Oral Session 11 @ Red 2 | CV: Language & Adversarial Attacks", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Red 2 | CV: Language & Adversarial Attacks

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
    Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang

    Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
    Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert

    Attacking Video Recognition Models with Bullet-Screen Comments
    Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

  • Oral Session 11 @ Red 3 | CV: Object Detection


    Red 3

    View Papers
    { "name":"Oral Session 11 @ Red 3 | CV: Object Detection", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Red 3 | CV: Object Detection

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Retinomorphic Object Detection in Asynchronous Visual Streams
    Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian

    Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
    Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang

    LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition
    Jiarui Cai, Yizhou Wang, Hung-Min Hsu, Jenq-Neng Hwang, Kelsey Magrane, Craig Rose

  • Oral Session 11 @ Red 4 | ML: Classification & Time-Series


    Red 4

    View Papers
    { "name":"Oral Session 11 @ Red 4 | ML: Classification & Time-Series", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Red 4 | ML: Classification & Time-Series

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
    Parikshit Ram, Kaushik Sinha

    Clustering Approach to Solve Hierarchical Classification Problem Complexity
    Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

    Reinforcement Learning based Dynamic Model Combination for Time Series Forecasting
    Yuwei Fu, Di Wu, Benoit Boulet

  • Oral Session 11 @ Red 5 | SNLP: Conversational AI


    Red 5

    View Papers
    { "name":"Oral Session 11 @ Red 5 | SNLP: Conversational AI", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Red 5 | SNLP: Conversational AI

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems
    Fei Mi, Yasheng Wang, Yitong Li

    HEAL: A Knowledge Graph for Distress Management Conversations
    Kalpani A Welivita, Pearl Pu

    DialogLM: Pre-Trained Model for Long Dialogue Understanding and Summarization
    Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

  • Oral Session 11 @ Red 6 | APP: Misinformation & Games


    Red 6

    View Papers
    { "name":"Oral Session 11 @ Red 6 | APP: Misinformation & Games", "description":"", "startDate":"02-27-2022", "endDate":"02-27-2022", "startTime": "18:30", "endTime": "19:45", "location": "Red 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 11 @ Red 6 | APP: Misinformation & Games

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Towards Fine-Grained Reasoning for Fake News Detection
    Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie

    A Unified Framework for Real Time Motion Completion
    Yinglin Duan, Yue Lin, Zhengxia Zou, Yi Yuan, Zhehui Qian, Bohan Zhang

    LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
    Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li

  • Oral Session 12 @ Blue 1 | ML: Reinforcement Learning


    Blue 1

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    { "name":"Oral Session 12 @ Blue 1 | ML: Reinforcement Learning", "description":"", "startDate":"02-28-2022", "endDate":"02-28-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 12 @ Blue 1 | ML: Reinforcement Learning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Episodic Policy Gradient Training
    Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh

    Efficient Continuous Control with Double Actors and Regularized Critics
    Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li

    Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy
    Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang

  • Oral Session 12 @ Blue 2 | CV: Applications


    Blue 2

    View Papers
    { "name":"Oral Session 12 @ Blue 2 | CV: Applications", "description":"", "startDate":"02-28-2022", "endDate":"02-28-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 2", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 12 @ Blue 2 | CV: Applications

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Coarse-to-Fine Generative Modeling for Graphic Layouts
    Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang

    Deep One-Class Classification via Interpolated Gaussian Descriptor
    Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro

    FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos
    Juan Hu, Xin Liao, Jinwen Liang, Wenbo Zhou, Zheng Qin

  • Oral Session 12 @ Blue 3 | ML: Bias and Fairness


    Blue 3

    View Papers
    { "name":"Oral Session 12 @ Blue 3 | ML: Bias and Fairness", "description":"", "startDate":"02-28-2022", "endDate":"02-28-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 3", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 12 @ Blue 3 | ML: Bias and Fairness

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
    Haewon Jeong, Hao Wang, Flavio P. Calmon

    Algorithmic Fairness Verification with Graphical Models
    Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

    Online Certification of Preference-Based Fairness for Personalized Recommender Systems
    Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier

  • Oral Session 12 @ Blue 4 | PRS: Deterministic Planning


    Blue 4

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    { "name":"Oral Session 12 @ Blue 4 | PRS: Deterministic Planning", "description":"", "startDate":"02-28-2022", "endDate":"02-28-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 4", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 12 @ Blue 4 | PRS: Deterministic Planning

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics
    Rostislav Horčík, Daniel Fišer, Alvaro Torralba

    Classical Planning with Avoid Conditions
    Marcel Steinmetz, Jörg Hoffmann, Alisa Kovtunova, Stefan Borgwardt

    Operator-Potential Heuristics for Symbolic Search
    Daniel Fišer, Alvaro Torralba, Joerg Hoffmann

  • Oral Session 12 @ Blue 5 | DMKM: Rule Mining & Knowledge Graphs


    Blue 5

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    { "name":"Oral Session 12 @ Blue 5 | DMKM: Rule Mining & Knowledge Graphs", "description":"", "startDate":"02-28-2022", "endDate":"02-28-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 5", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 12 @ Blue 5 | DMKM: Rule Mining & Knowledge Graphs

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    On the Complexity of Inductively Learning Guarded Clauses
    Matthias Lanzinger, Georg Gottlob, Andrei Draghici

    Ensemble Semi-Supervised Entity Alignment via Cycle-Teaching
    Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou

    Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model
    Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi

  • Oral Session 12 @ Blue 6 | GTEP: Equilibrium & Fair Division


    Blue 6

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    { "name":"Oral Session 12 @ Blue 6 | GTEP: Equilibrium & Fair Division", "description":"", "startDate":"02-28-2022", "endDate":"02-28-2022", "startTime": "02:30", "endTime": "03:45", "location": "Blue 6", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 12 @ Blue 6 | GTEP: Equilibrium & Fair Division

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    Maximizing Nash Social Welfare in 2-Value Instances
    Hannaneh Akrami, Bhaskar Ray Chaudhury, Martin Hoefer, Kurt Mehlhorn, Marco Schmalhofer, Golnoosh Shahkarami, Giovanna Varricchio, Quentin Vermande, Ernest van Wijland

    Safe Subgame Resolving for Extensive Form Correlated Equilibrium
    Chun Kai Ling, Fei Fang

    Multi-Leader Congestion Games with an Adversary
    Tobias Harks, Mona Henle, Max Klimm, Jannik Matuschke, Anja Schedel

  • Oral Session 12 @ Red 1 | CV: Bias, Face Recognition; ML: Interpretable ML


    Red 1

    View Papers
    { "name":"Oral Session 12 @ Red 1 | CV: Bias, Face Recognition; ML: Interpretable ML", "description":"", "startDate":"02-28-2022", "endDate":"02-28-2022", "startTime": "02:30", "endTime": "03:45", "location": "Red 1", "timeZone": "US/Pacific", "options":[ "Apple", "Google", "iCal", "Microsoft365", "Outlook.com", "Yahoo" ] }
    Oral Session 12 @ Red 1 | CV: Bias, Face Recognition; ML: Interpretable ML

    This 75-minute oral presentation session consists of watching three 20-minute pre-recorded presentations, followed by 5 minutes of chat-based discussion and Q&A. Discussions happen within the virtual platform's chat box.

    HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks
    Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

    FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
    Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien, Shang-Hong Lai

    Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification
    Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang

  • Oral Session 12 @ Red 2 | CV: Low Level & Physics-Based Vision


    Red 2

    View Papers
    { "na