Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

83 Results

<<   <   Page 2 of 7   >   >>
Poster
Wed 15:00 Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Wei Dong · Dawei Yan · Zhijun Lin · Peng Wang
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
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 8:45 To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning
Ildus Sadrtdinov · Dmitrii Pozdeev · Dmitry Vetrov · Ekaterina Lobacheva
Poster
Wed 8:45 A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Haizhou Shi · Hao Wang
Poster
Wed 8:45 A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
Qi Wang · Yiqin Lv · yanghe feng · Zheng Xie · Jincai Huang
Poster
Wed 8:45 Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
Tongtong Fang · Nan Lu · Gang Niu · Masashi Sugiyama
Poster
Thu 8:45 ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Yingjun Du · Zehao Xiao · Shengcai Liao · Cees Snoek
Poster
Thu 8:45 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu · Renhong Huang · XIN JIANG · Yuxuan Cao · Carl Yang · Chunping Wang · YANG YANG
Poster
Tue 15:15 ExPT: Synthetic Pretraining for Few-Shot Experimental Design
Tung Nguyen · Sudhanshu Agrawal · Aditya Grover
Poster
Wed 8:45 Federated Conditional Stochastic Optimization
Xidong Wu · Jianhui Sun · Zhengmian Hu · Junyi Li · Aidong Zhang · Heng Huang