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209 Results
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Poster
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Wed 1:00 |
Explainable Deep One-Class Classification Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller |
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Poster
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Tue 1:00 |
Large-width functional asymptotics for deep Gaussian neural networks Daniele Bracale · Stefano Favaro · Sandra Fortini · Stefano Peluchetti |
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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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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 9:00 |
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning Rabeeh Karimi Mahabadi · Yonatan Belinkov · James Henderson |
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Poster
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Mon 17:00 |
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re |
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Oral
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Tue 21:18 |
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re |
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Poster
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Mon 17:00 |
MixKD: Towards Efficient Distillation of Large-scale Language Models Kevin Liang · Weituo Hao · Dinghan Shen · Yufan Zhou · Weizhu Chen · Changyou Chen · Lawrence Carin |
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Poster
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Thu 9:00 |
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation Emilio Parisotto · Ruslan Salakhutdinov |
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Poster
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Wed 9:00 |
Evaluation of Neural Architectures Trained With Square Loss vs Cross-Entropy in Classification Tasks Like Hui · Misha Belkin |
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Poster
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Tue 17:00 |
Large Batch Simulation for Deep Reinforcement Learning Brennan Shacklett · Erik Wijmans · Aleksei Petrenko · Manolis Savva · Dhruv Batra · Vladlen Koltun · Kayvon Fatahalian |
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Poster
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Tue 9:00 |
Large Associative Memory Problem in Neurobiology and Machine Learning Dmitry Krotov · John J Hopfield |