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Poster
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Thu 14:00 |
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu · Ziqi Zhao · Sabine Süsstrunk · Mathieu Salzmann |
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Workshop
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When Does Re-initialization Work? Sheheryar Zaidi · Tudor Berariu · Hyunjik Kim · Jorg Bornschein · Claudia Clopath · Yee Whye Teh · Razvan Pascanu |
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Workshop
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Sat 7:55 |
Spotlight 6 - Sheheryar Zaidi: When Does Re-initialization Work? Sheheryar Zaidi |
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Poster
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Wed 14:00 |
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization Mufan Li · Mihai Nica · Dan Roy |
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Poster
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Towards Understanding the Condensation of Neural Networks at Initial Training Hanxu Zhou · Zhou Qixuan · Tao Luo · Yaoyu Zhang · Zhi-Qin Xu |
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Poster
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Wed 9:00 |
Towards Theoretically Inspired Neural Initialization Optimization Yibo Yang · Hong Wang · Haobo Yuan · Zhouchen Lin |
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Poster
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Tue 9:00 |
On Scrambling Phenomena for Randomly Initialized Recurrent Networks Vaggos Chatziafratis · Ioannis Panageas · Clayton Sanford · Stelios Stavroulakis |
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Poster
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Thu 14:00 |
On the Parameterization and Initialization of Diagonal State Space Models Albert Gu · Karan Goel · Ankit Gupta · Christopher Ré |
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Poster
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Tue 14:00 |
Rare Gems: Finding Lottery Tickets at Initialization Kartik Sreenivasan · Jy-yong Sohn · Liu Yang · Matthew Grinde · Alliot Nagle · Hongyi Wang · Eric Xing · Kangwook Lee · Dimitris Papailiopoulos |
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Poster
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Thu 9:00 |
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks Mansheej Paul · Brett Larsen · Surya Ganguli · Jonathan Frankle · Gintare Karolina Dziugaite |
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Poster
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Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width Hanxu Zhou · Zhou Qixuan · Zhenyuan Jin · Tao Luo · Yaoyu Zhang · Zhi-Qin Xu |
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Poster
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Thu 9:00 |
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) Zhenyu Zhu · Fanghui Liu · Grigorios Chrysos · Volkan Cevher |