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108 Results
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Poster
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Thu 9:00 |
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao · Hakan Bilen |
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Spotlight
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Thu 5:20 |
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao · Hakan Bilen |
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Workshop
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Mitigating deep double descent by concatenating inputs John Chen · Qihan Wang · Anastasios Kyrillidis |
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Spotlight
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Thu 17:35 |
Large-Scale Meta-Learning with Continual Trajectory Shifting JaeWoong Shin · Hae Beom Lee · Boqing Gong · Sung Ju Hwang |
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Poster
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Thu 21:00 |
Large-Scale Meta-Learning with Continual Trajectory Shifting JaeWoong Shin · Hae Beom Lee · Boqing Gong · Sung Ju Hwang |
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Poster
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Thu 9:00 |
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss · Vincent Fortuin · Martin Josifoski · Andreas Krause |
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Spotlight
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Thu 5:25 |
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss · Vincent Fortuin · Martin Josifoski · Andreas Krause |
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Spotlight
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Thu 19:25 |
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu |
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Poster
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Thu 21:00 |
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu |
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Spotlight
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Thu 19:30 |
Meta-Learning Bidirectional Update Rules Mark Sandler · Max Vladymyrov · Andrey Zhmoginov · Nolan Miller · Tom Madams · Andrew Jackson · Blaise Agüera y Arcas |
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Poster
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Thu 21:00 |
Meta-Learning Bidirectional Update Rules Mark Sandler · Max Vladymyrov · Andrey Zhmoginov · Nolan Miller · Tom Madams · Andrew Jackson · Blaise Agüera y Arcas |
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Poster
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Thu 9:00 |
PAPRIKA: Private Online False Discovery Rate Control Wanrong Zhang · Gautam Kamath · Rachel Cummings |