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Poster
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Wed 14:00
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Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
Qinghua Liu · Csaba Szepesvari · Chi Jin
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Poster
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Tue 14:00
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Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu · Derek Tam · Mohammed Muqeeth · Jay Mohta · Tenghao Huang · Mohit Bansal · Colin Raffel
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Poster
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Tue 9:00
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Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps
Yue Hu · Shaoheng Fang · Zixing Lei · Yiqi Zhong · Siheng Chen
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Poster
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Thu 9:00
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A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Mingrui Liu · Zhenxun Zhuang · Yunwen Lei · Chunyang Liao
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Poster
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Tue 9:00
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Provably sample-efficient RL with side information about latent dynamics
Yao Liu · Dipendra Misra · Miro Dudik · Robert Schapire
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Poster
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Wed 9:00
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A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
Zhenyu Sun · Ermin Wei
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Poster
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Tue 9:00
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Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
Allen Nie · Yannis Flet-Berliac · Deon Jordan · William Steenbergen · Emma Brunskill
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Poster
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Thu 9:00
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Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning
Dingwen Kong · Lin Yang
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Poster
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Tue 9:00
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EcoFormer: Energy-Saving Attention with Linear Complexity
Jing Liu · Zizheng Pan · Haoyu He · Jianfei Cai · Bohan Zhuang
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Poster
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Tue 9:00
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VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Zhan Tong · Yibing Song · Jue Wang · Limin Wang
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Poster
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Wed 9:00
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Optimal Efficiency-Envy Trade-Off via Optimal Transport
Steven Yin · Christian Kroer
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Poster
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LOG: Active Model Adaptation for Label-Efficient OOD Generalization
Jie-Jing Shao · Lan-Zhe Guo · Xiao-wen Yang · Yu-Feng Li
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