AAAI-2022
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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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Blue 1

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Blue 2

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Blue 3

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Blue 4

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Blue 5

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Blue 6

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Red 1

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Red 2

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Red 3

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Red 4

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Red 5

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      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

      Thu, February 24 6:30 PM - 7:45 PM (+00:00)

      Red 6

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Blue 1

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Blue 2

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Blue 3

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Blue 4

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Blue 5

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Blue 6

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Red 1

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Red 2

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Red 3

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Red 4

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Red 5

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      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

      Fri, February 25 2:30 AM - 3:45 AM (+00:00)

      Red 6

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Blue 1

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Blue 2

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Blue 3

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Blue 4

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Blue 5

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Blue 6

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Red 1

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Red 2

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Red 3

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Red 4

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Red 5

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      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

      Fri, February 25 10:30 AM - 11:45 AM (+00:00)

      Red 6

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Blue 1

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Blue 2

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Blue 3

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Blue 4

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Blue 5

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Blue 6

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Red 1

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Red 2

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Red 3

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Red 4

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Red 5

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      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

      Fri, February 25 6:45 PM - 8:00 PM (+00:00)

      Red 6

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Blue 1

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Blue 2

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Blue 3

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Blue 4

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Blue 5

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Blue 6

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Red 1

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Red 2

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Red 3

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Red 4

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Red 5

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      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

      Sat, February 26 2:30 AM - 3:45 AM (+00:00)

      Red 6

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Blue 1

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Blue 2

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Blue 3

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Blue 4

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Blue 5

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Blue 6

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Red 1

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Red 2

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Red 3

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Red 4

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Red 5

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      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

      Sat, February 26 10:30 AM - 11:45 AM (+00:00)

      Red 6

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Blue 1

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Blue 2

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Blue 3

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Blue 4

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Blue 5

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Blue 6

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Red 1

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Red 2

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Red 3

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Red 4

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Red 5

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      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

      Sat, February 26 6:30 PM - 7:45 PM (+00:00)

      Red 6

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Blue 1

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Blue 2

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Blue 3

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Blue 4

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Blue 5

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Blue 6

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Red 1

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Red 2

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Red 3

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Red 4

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Red 5

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      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

      Sun, February 27 2:30 AM - 3:45 AM (+00:00)

      Red 6

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Blue 1

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Blue 2

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Blue 3

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Blue 4

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Blue 5

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Blue 6

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Red 1

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Red 2

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Red 3

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Red 4

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Red 5

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      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

      Sun, February 27 10:30 AM - 11:45 AM (+00:00)

      Red 6

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Blue 1

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Blue 2

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Blue 3

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Blue 4

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Blue 5

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Blue 6

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Red 1

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Red 2

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Red 3

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Red 4

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Red 5

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      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

      Sun, February 27 6:30 PM - 7:45 PM (+00:00)

      Red 6

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Blue 1

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Blue 2

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Blue 3

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Blue 4

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Blue 5

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Blue 6

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Red 1

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Red 2

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Red 3

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Red 4

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Red 5

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      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

      Mon, February 28 2:30 AM - 3:45 AM (+00:00)

      Red 6

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      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

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Blue 1

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      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

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Blue 2

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      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

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Blue 3

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      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

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Blue 4

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      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

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Blue 5

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      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

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Blue 6

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      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

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Red 1

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      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

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Red 2

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      Oral Session 12 @ 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.

      Low-Light Image Enhancement with Normalizing Flow
      Yufei Wang, Renjie Wan, Haoliang Li, Wenhan Yang, Lap-Pui Chau, Alex Kot

      Content-Variant Reference Image Quality Assessment via Knowledge Distillation
      Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, shouqian sun, Changhu Wang

      Best-Buddy GANs for Highly Detailed Image Super-Resolution
      Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu

    • Oral Session 12 @ Red 3 | CV: Multimodal Vision & Self-supervised Learning

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Red 3

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      Oral Session 12 @ Red 3 | CV: Multimodal Vision & Self-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.

      SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory
      Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro

      Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation
      Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang

      A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications
      Yun-Hao Cao, Jianxin Wu

    • Oral Session 12 @ Red 4 | SNLP: Question Answering & Interpretability

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Red 4

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      Oral Session 12 @ Red 4 | SNLP: Question Answering & 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.

      Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text
      Amrita Saha, Shafiq Joty, Steven Hoi

      On the Transferability of Pre-Trained Language Models: A Study from Artificial Datasets
      Cheng-Han Chiang, Hung-yi Lee

      Generation-Focused Table-Based Intermediate Pre-Training for Free-Form Question Answering
      Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang

    • Oral Session 12 @ Red 5 | SNLP: Applications

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Red 5

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      Oral Session 12 @ Red 5 | SNLP: 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.

      Tracing Text Provenance via Context-Aware Lexical Substitution
      Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu

      Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
      Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang

      Towards Building ASR Systems for the Next Billion Users
      Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra

    • Oral Session 12 @ Red 6 | AISI: Social Development, Health & Computational Social Science

      Mon, February 28 10:30 AM - 11:45 AM (+00:00)

      Red 6

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      Oral Session 12 @ Red 6 | AISI: Social Development, Health & Computational Social Science

      Learning the Physics of Particle Transport via Transformers
      Oscar Pastor-Serrano, Zoltán Perkó

      IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling
      Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David Lobell, Stefano Ermon

      Personalized Public Policy Analysis In Social Sciences Using Causal-Graphical Normalizing Flows
      Sourabh Balgi, Jose M. Peña, Adel Daoud

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