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685 Results
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Oral
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Thu 19:00 |
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma |
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Spotlight
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Mon 13:40 |
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models Zirui Wang · Yulia Tsvetkov · Orhan Firat · Yuan Cao |
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Oral
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Wed 11:15 |
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh · Abhishek Gupta · Ashwin D Reddy · Justin Fu · Coline M Devin · Benjamin Eysenbach · Sergey Levine |
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Spotlight
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Tue 19:35 |
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian · Suraj Nair · Frederik Ebert · Sudeep Dasari · Benjamin Eysenbach · Chelsea Finn · Sergey Levine |
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Oral
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Tue 4:23 |
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell · Insu Han · Elvis Dohmatob · Jennifer Gillenwater · Victor-Emmanuel Brunel |
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Spotlight
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Thu 3:45 |
Iterative Empirical Game Solving via Single Policy Best Response Max Smith · Thomas Anthony · Michael Wellman |
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Spotlight
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Wed 20:20 |
Understanding the role of importance weighting for deep learning Da Xu · Yuting Ye · Chuanwei Ruan |
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Oral
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Tue 12:00 |
Randomized Automatic Differentiation Deniz Oktay · Nick McGreivy · Joshua Aduol · Alex Beatson · Ryan P Adams |
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Oral
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Tue 11:15 |
Learning Generalizable Visual Representations via Interactive Gameplay Luca Weihs · Aniruddha Kembhavi · Kiana Ehsani · Sarah M Pratt · Winson Han · Alvaro Herrasti · Eric Kolve · Dustin Schwenk · Roozbeh Mottaghi · Ali Farhadi |
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Spotlight
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Tue 5:08 |
Mutual Information State Intrinsic Control Rui Zhao · Yang Gao · Pieter Abbeel · Volker Tresp · Wei Xu |
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Spotlight
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Wed 5:15 |
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods Taiji Suzuki · Akiyama Shunta |
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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 |