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48 Results
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Poster
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Tue 1:00 |
Intraclass clustering: an implicit learning ability that regularizes DNNs Simon Carbonnelle · Christophe De Vleeschouwer |
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Poster
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Wed 9:00 |
Sharpness-aware Minimization for Efficiently Improving Generalization Pierre Foret · Ariel Kleiner · Hossein Mobahi · Behnam Neyshabur |
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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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Wed 9:00 |
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization Alexander Korotin · Lingxiao Li · Justin Solomon · Evgeny Burnaev |
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Poster
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Thu 17:00 |
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao · Yining Chen · Junwei Lu · Nikos Arechiga · Adrien Gaidon · Tengyu Ma |
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Poster
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Tue 17:00 |
Monotonic Kronecker-Factored Lattice William Bakst · Nobuyuki Morioka · Erez Louidor |
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Poster
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Mon 1:00 |
Wasserstein-2 Generative Networks Alexander Korotin · Vage Egiazarian · Arip Asadulaev · Alexander Safin · Evgeny Burnaev |
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Poster
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Thu 17:00 |
Convex Regularization behind Neural Reconstruction Arda Sahiner · Morteza Mardani · Batu Ozturkler · Mert Pilanci · John M Pauly |
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Poster
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Tue 17:00 |
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability Jeremy Cohen · Simran Kaur · Yuanzhi Li · Zico Kolter · Ameet Talwalkar |
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Poster
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Tue 17:00 |
Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers Sahil Singla · Soheil Feizi |
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Poster
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Mon 17:00 |
Optimal Regularization can Mitigate Double Descent Preetum Nakkiran · Prayaag Venkat · Sham M Kakade · Tengyu Ma |
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Poster
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Thu 17:00 |
Neural Pruning via Growing Regularization Huan Wang · Can Qin · Yulun Zhang · Yun Fu |