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Poster
Tue 8:45 Optimal testing using combined test statistics across independent studies
Lasse Vuursteen · Botond Szabo · Aad van der Vaart · Harry van Zanten
Poster
Wed 15:00 The s-value: evaluating stability with respect to distributional shifts
Suyash Gupta · Dominik Rothenhäusler
Poster
Tue 8:45 Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
wonje choi · Woo Kyung Kim · SeungHyun Kim · Honguk Woo
Poster
Thu 15:00 Focus Your Attention when Few-Shot Classification
Haoqing Wang · Shibo Jie · Zhihong Deng
Poster
Tue 15:15 Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale
Zhiwei Hao · Jianyuan Guo · Kai Han · Han Hu · Chang Xu · Yunhe Wang
Poster
Tue 15:15 One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
Zhiwei Hao · Jianyuan Guo · Kai Han · Yehui Tang · Han Hu · Yunhe Wang · Chang Xu
Poster
Wed 15:00 DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
Kaipeng Zheng · Huishuai Zhang · Weiran Huang
Poster
Spectral Co-Distillation for Personalized Federated Learning
Zihan Chen · Howard Yang · Tony Quek · Kai Fong Ernest Chong
Poster
Tue 8:45 Adaptive Test-Time Personalization for Federated Learning
Wenxuan Bao · Tianxin Wei · Haohan Wang · Jingrui He
Poster
Tue 15:15 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
Qi-Wei Wang · Da-Wei Zhou · Yi-Kai Zhang · De-Chuan Zhan · Han-Jia Ye
Poster
Thu 8:45 Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener · David Brandfonbrener · Ofir Nachum · Joan Bruna
Poster
Wed 8:45 Joint Data-Task Generation for Auxiliary Learning
Hong Chen · Xin Wang · Yuwei Zhou · Yijian Qin · Chaoyu Guan · Wenwu Zhu