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Poster
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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 |
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Poster
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Mon 9:00 |
Learning explanations that are hard to vary Giambattista Parascandolo · Alexander Neitz · Antonio Orvieto · Luigi Gresele · Bernhard Schoelkopf |
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Poster
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Mon 9:00 |
Adaptive Federated Optimization Sashank Reddi · Zachary Charles · Manzil Zaheer · Zachary Garrett · Keith Rush · Jakub Konečný · Sanjiv Kumar · H. Brendan McMahan |
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Poster
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Mon 9:00 |
Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks Timothy Castiglia · Anirban Das · Stacy Patterson |
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Oral
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Mon 11:00 |
Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama |
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Poster
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Mon 17:00 |
Personalized Federated Learning with First Order Model Optimization Michael Zhang · Karan Sapra · Sanja Fidler · Serena Yeung · Jose M. Alvarez |
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Poster
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Mon 17:00 |
Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama |
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Poster
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Tue 1:00 |
Bayesian Context Aggregation for Neural Processes Michael Volpp · Fabian Flürenbrock · Lukas Grossberger · Christian Daniel · Gerhard Neumann |
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Poster
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Tue 1:00 |
FedMix: Approximation of Mixup under Mean Augmented Federated Learning Tehrim Yoon · Sumin Shin · Sung Ju Hwang · Eunho Yang |
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Poster
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Tue 1:00 |
Risk-Averse Offline Reinforcement Learning Núria Armengol Urpí · Sebastian Curi · Andreas Krause |
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Poster
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Tue 1:00 |
Generalized Multimodal ELBO Thomas Sutter · Imant Daunhawer · Julia E Vogt |
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Poster
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Tue 17:00 |
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen · Wei-Lun Chao |