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Workshop
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Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary
Gaetan Rensonnet
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Oral
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Wed 17:00
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Understanding self-supervised learning dynamics without contrastive pairs
Yuandong Tian · Xinlei Chen · Surya Ganguli
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Poster
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Wed 9:00
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The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
Roberto Bondesan · Max Welling
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Spotlight
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Wed 5:40
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On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting
Shunta Akiyama · Taiji Suzuki
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Spotlight
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Wed 17:30
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Selfish Sparse RNN Training
Shiwei Liu · Decebal Mocanu · Yulong Pei · Mykola Pechenizkiy
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Workshop
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Fri 9:46
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LRTuner: A Learning Rate Tuner for Deep Neural Networks
Nipun Kwatra
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Poster
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Wed 21:00
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Understanding self-supervised learning dynamics without contrastive pairs
Yuandong Tian · Xinlei Chen · Surya Ganguli
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Poster
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Wed 21:00
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Selfish Sparse RNN Training
Shiwei Liu · Decebal Mocanu · Yulong Pei · Mykola Pechenizkiy
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Workshop
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Sat 8:25
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Highlight 2 | VoroCNN: Deep Convolutional Neural Network Built on 3D Voronoi Tessellation of Protein Structures
Workshop CompBio · Ilia Igashov
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Spotlight
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Wed 7:45
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The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
Roberto Bondesan · Max Welling
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Spotlight
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Wed 17:20
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Learning by Turning: Neural Architecture Aware Optimisation
Yang Liu · Jeremy Bernstein · Markus Meister · Yisong Yue
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Workshop
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Sat 7:05
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Spotlight Set 1-5 | Deep Contextual Learners for Protein Networks
Workshop CompBio · Michelle Li
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