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190 Results
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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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Mon 1:00 |
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet |
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Oral
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Thu 3:00 |
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study Marcin Andrychowicz · Anton Raichuk · Piotr Stanczyk · Manu Orsini · Sertan Girgin · Raphaël Marinier · Léonard Hussenot-Desenonges · Matthieu Geist · Olivier Pietquin · Marcin Michalski · Sylvain Gelly · Olivier Bachem |
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Poster
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Thu 1:00 |
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study Marcin Andrychowicz · Anton Raichuk · Piotr Stanczyk · Manu Orsini · Sertan Girgin · Raphaël Marinier · Léonard Hussenot-Desenonges · Matthieu Geist · Olivier Pietquin · Marcin Michalski · Sylvain Gelly · Olivier Bachem |
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Poster
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Wed 9:00 |
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk · Maximilian Seitzer · Georg Martius |
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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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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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Mon 9:00 |
Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers Cristina Pinneri · Shambhuraj Sawant · Sebastian Blaes · Georg Martius |
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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 |