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Poster
Wed 15:00 Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
Haoran Chen · Xintong Han · Zuxuan Wu · Yu-Gang Jiang
Poster
Wed 15:00 Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
Siyuan Sun · Hongyang Gao
Poster
Thu 8:45 Multi-task learning with summary statistics
Parker Knight · Rui Duan
Poster
Wed 8:45 Joint Data-Task Generation for Auxiliary Learning
Hong Chen · Xin Wang · Yuwei Zhou · Yijian Qin · Chaoyu Guan · Wenwu Zhu
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
Wed 15:00 Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
Qiong Wu · Wei Yu · Yiyi Zhou · Shubin Huang · Xiaoshuai Sun · Rongrong Ji
Poster
Tue 8:45 Scalarization for Multi-Task and Multi-Domain Learning at Scale
Amelie Royer · Tijmen Blankevoort · Babak Ehteshami Bejnordi
Poster
Tue 15:15 Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
Yuzheng Hu · Ruicheng Xian · Qilong Wu · Qiuling Fan · Lang Yin · Han Zhao
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
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
Thu 8:45 Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener · David Brandfonbrener · Ofir Nachum · Joan Bruna