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28 Results
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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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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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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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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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Wed 14:00 |
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules Kazuki Irie · Francesco Faccio · Jürgen Schmidhuber |
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Poster
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Tue 14:00 |
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again AJAY JAISWAL · Peihao Wang · Tianlong Chen · Justin Rousseau · Ying Ding · Zhangyang Wang |
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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 |
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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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Wed 14:00 |
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks Daiki Chijiwa · Shin'ya Yamaguchi · Atsutoshi Kumagai · Yasutoshi Ida |
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Poster
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Wed 9:00 |
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang · Liu Liu · Min-Hsiu Hsieh · Dacheng Tao |
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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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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 |