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Poster
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Wed 2:30
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Simple Emergent Action Representations from Multi-Task Policy Training
Pu Hua · Yubei Chen · Huazhe Xu
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Poster
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Distributed Differential Privacy in Multi-Armed Bandits
Sayak Ray Chowdhury · Xingyu Zhou
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Poster
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Mon 2:30
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TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding
Hanrong Ye · Dan Xu
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Poster
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Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
Haoye Lu · Daniel Herman · Yaoliang Yu
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Poster
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Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju · Tong Zhao · Qianlong Wen · Wenhao Yu · Neil Shah · Yanfang Ye · Chuxu Zhang
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Poster
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Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
Zhen Lin · Shubhendu Trivedi · Jimeng Sun
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Poster
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NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
Jinsong Chen · Kaiyuan Gao · Gaichao Li · Kun He
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Poster
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Mon 7:30
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Competitive Physics Informed Networks
Qi Zeng · Yash Kothari · Spencer Bryngelson · Florian Schaefer
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Poster
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Tue 2:30
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LDMIC: Learning-based Distributed Multi-view Image Coding
Xinjie Zhang · Jiawei Shao · Jun Zhang
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Poster
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More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
Jiangxing Wang · Deheng Ye · Zongqing Lu
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Workshop
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Thu 6:50
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A Robust and Constrained Multi-Agent Reinforcement Learning Method for Electric Vehicle Rebalancing in AMoD Systems
Sihong He
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Poster
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Mon 2:30
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Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
Chao Yu · Jiaxuan Gao · Weilin Liu · Botian Xu · Hao Tang · Jiaqi Yang · Yu Wang · Yi Wu
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