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23 Results
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Poster
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Thu 1:00 |
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights Byeongho Heo · Sanghyuk Chun · Seong Joon Oh · Dongyoon Han · Sangdoo Yun · Gyuwan Kim · Youngjung Uh · Jung-Woo Ha |
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Spotlight
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Wed 19:25 |
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks Shengyu Zhao · Jonathan Cui · Yilun Sheng · Yue Dong · Xiao Liang · Eric Chang · Yan Xu |
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Spotlight
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Tue 5:28 |
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz |
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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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Oral
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Wed 3:00 |
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy · Lucas Beyer · Alexander Kolesnikov · Dirk Weissenborn · Xiaohua Zhai · Thomas Unterthiner · Mostafa Dehghani · Matthias Minderer · Georg Heigold · Sylvain Gelly · Jakob Uszkoreit · Neil Houlsby |
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Oral
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Wed 19:55 |
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai |
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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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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 1:00 |
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz |
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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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Poster
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Thu 1:00 |
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding Dmitry Lepikhin · HyoukJoong Lee · Yuanzhong Xu · Dehao Chen · Orhan Firat · Yanping Huang · Maxim Krikun · Noam Shazeer · Zhifeng Chen |
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Poster
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Thu 1:00 |
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai |