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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 9:00 Learning explanations that are hard to vary
Giambattista Parascandolo · Alexander Neitz · Antonio Orvieto · Luigi Gresele · Bernhard Schoelkopf
Poster
Mon 9:00 Adaptive Federated Optimization
Sashank Reddi · Zachary Charles · Manzil Zaheer · Zachary Garrett · Keith Rush · Jakub Konečný · Sanjiv Kumar · H. Brendan McMahan
Poster
Mon 9:00 Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia · Anirban Das · Stacy Patterson
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 Personalized Federated Learning with First Order Model Optimization
Michael Zhang · Karan Sapra · Sanja Fidler · Serena Yeung · Jose M. Alvarez
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 Bayesian Context Aggregation for Neural Processes
Michael Volpp · Fabian Flürenbrock · Lukas Grossberger · Christian Daniel · Gerhard Neumann
Poster
Tue 1:00 FedMix: Approximation of Mixup under Mean Augmented Federated Learning
Tehrim Yoon · Sumin Shin · Sung Ju Hwang · Eunho Yang
Poster
Tue 1:00 Risk-Averse Offline Reinforcement Learning
Núria Armengol Urpí · Sebastian Curi · Andreas Krause
Poster
Tue 1:00 Generalized Multimodal ELBO
Thomas Sutter · Imant Daunhawer · Julia E Vogt
Poster
Tue 17:00 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen · Wei-Lun Chao