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47 Results
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Poster
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Thu 17:00 |
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma |
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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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Poster
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Mon 1:00 |
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet |
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Poster
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Tue 9:00 |
Provable Rich Observation Reinforcement Learning with Combinatorial Latent States Dipendra Kumar Misra · Qinghua Liu · Chi Jin · John Langford |
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Spotlight
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Mon 3:30 |
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet |
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Poster
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Wed 9:00 |
TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks Martin Trimmel · Henning Petzka · Cristian Sminchisescu |
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Oral
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Wed 11:00 |
Human-Level Performance in No-Press Diplomacy via Equilibrium Search Jonathan Gray · Adam Lerer · Anton Bakhtin · Noam Brown |
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Poster
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Wed 9:00 |
Human-Level Performance in No-Press Diplomacy via Equilibrium Search Jonathan Gray · Adam Lerer · Anton Bakhtin · Noam Brown |
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Poster
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Mon 17:00 |
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks Atish Agarwala · Abhimanyu Das · Brendan Juba · Rina Panigrahy · Vatsal Sharan · Xin Wang · Qiuyi Zhang |
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Poster
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Thu 9:00 |
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks Nikunj Umesh Saunshi · Sadhika Malladi · Sanjeev Arora |
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Poster
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Wed 17:00 |
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie · Ananya Kumar · Robbie Jones · Fereshte Khani · Tengyu Ma · Percy Liang |