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Poster
Tue 8:45 Adaptive Test-Time Personalization for Federated Learning
Wenxuan Bao · Tianxin Wei · Haohan Wang · Jingrui He
Poster
Tue 8:45 Scalarization for Multi-Task and Multi-Domain Learning at Scale
Amelie Royer · Tijmen Blankevoort · Babak Ehteshami Bejnordi
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
Wed 8:45 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation
Chaoqi Chen · Luyao Tang · Yue Huang · Xiaoguang Han · Yizhou Yu
Poster
Thu 15:00 Does progress on ImageNet transfer to real-world datasets?
Alex Fang · Simon Kornblith · Ludwig Schmidt
Poster
Wed 15:00 Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Wei Dong · Dawei Yan · Zhijun Lin · Peng Wang
Poster
Wed 15:00 Federated Learning via Meta-Variational Dropout
Insu Jeon · Minui Hong · Junhyeog Yun · Gunhee Kim
Poster
Wed 15:00 Meta-Learning with Neural Bandit Scheduler
Yunzhe Qi · Yikun Ban · Tianxin Wei · Jiaru Zou · Huaxiu Yao · Jingrui He
Poster
Thu 15:00 Online Constrained Meta-Learning: Provable Guarantees for Generalization
Siyuan Xu · Minghui Zhu
Poster
Tue 15:15 FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami · Yuyang Liu · Bartłomiej Twardowski · Joost van de Weijer
Poster
Tue 15:15 Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
Liyuan Wang · Jingyi Xie · Xingxing Zhang · Mingyi Huang · Hang Su · Jun Zhu
Poster
Thu 15:00 FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
Kun Song · Huimin Ma · Bochao Zou · Huishuai Zhang · Weiran Huang