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97 Results
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Workshop
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Sat 17:00 |
Q/A and Discussion for ML Theory Session Karthik Kashinath · Mayur Mudigonda · Stephan Mandt · Rose Yu |
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Spotlight
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Wed 7:20 |
Triple descent and the two kinds of overfitting: where & why do they appear? Stéphane d'Ascoli · Levent Sagun · Giulio Biroli |
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Poster
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Mon 21:00 |
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection Qijian Zhang · Runmin Cong · Junhui Hou · Chongyi Li · Yao Zhao |
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Poster
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Wed 9:00 |
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola · Jack Turner · Elliot Crowley · Michael O'Boyle · Amos Storkey |
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Poster
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Wed 21:00 |
Entrywise convergence of iterative methods for eigenproblems Vasileios Charisopoulos · Austin Benson · Anil Damle |
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Poster
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Tue 9:00 |
RepPoints v2: Verification Meets Regression for Object Detection Yihong Chen · Zheng Zhang · Yue Cao · Liwei Wang · Stephen Lin · Han Hu |
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Poster
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Tue 21:00 |
Planning with General Objective Functions: Going Beyond Total Rewards Ruosong Wang · Peilin Zhong · Simon Du · Russ Salakhutdinov · Lin Yang |
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Spotlight
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Wed 20:10 |
Estimation of Skill Distribution from a Tournament Ali Jadbabaie · Anuran Makur · Devavrat Shah |
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Oral
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Thu 18:30 |
A mathematical theory of cooperative communication Pei Wang · Junqi Wang · Pushpi Paranamana · Patrick Shafto |
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Spotlight
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Wed 7:20 |
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola · Jack Turner · Elliot Crowley · Michael O'Boyle · Amos Storkey |
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Poster
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Tue 9:00 |
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model Steffen Czolbe · Oswin Krause · Ingemar Cox · Christian Igel |
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Workshop
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Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory Jonas Rothfuss |