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Poster
Mon 1:00 Scalable Transfer Learning with Expert Models
Joan Puigcerver i Perez · Carlos Riquelme · Basil Mustafa · Cedric Renggli · André Susano Pinto · Sylvain Gelly · Daniel Keysers · Neil Houlsby
Poster
Mon 1:00 Batch Reinforcement Learning Through Continuation Method
Yijie Guo · Shengyu Feng · Nicolas Le Roux · Ed H. Chi · Honglak Lee · Minmin Chen
Poster
Mon 9:00 Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
Mihir Prabhudesai · Shamit Lal · Darshan Patil · Hsiao-Yu Tung · Adam Harley · Katerina Fragkiadaki
Poster
Mon 9:00 Learning explanations that are hard to vary
Giambattista Parascandolo · Alexander Neitz · Antonio Orvieto · Luigi Gresele · Bernhard Schoelkopf
Poster
Mon 9:00 Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia · Anirban Das · Stacy Patterson
Poster
Mon 9:00 Adaptive Federated Optimization
Sashank Reddi · Zachary Charles · Manzil Zaheer · Zachary Garrett · Keith Rush · Jakub Konečný · Sanjiv Kumar · H. Brendan McMahan
Oral
Mon 11:00 Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
Poster
Mon 17:00 Regularized Inverse Reinforcement Learning
Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau
Poster
Mon 17:00 Personalized Federated Learning with First Order Model Optimization
Michael Zhang · Karan Sapra · Sanja Fidler · Serena Yeung · Jose M. Alvarez
Poster
Mon 17:00 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou · Zizhao Zhang · Han Zhang · Chun-Liang Li · Xiao Bian · Jia-Bin Huang · Tomas Pfister
Poster
Mon 17:00 Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
Poster
Tue 1:00 FedMix: Approximation of Mixup under Mean Augmented Federated Learning
Tehrim Yoon · Sumin Shin · Sung Ju Hwang · Eunho Yang