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Poster
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Mon 2:30
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Neural-based classification rule learning for sequential data
Marine Collery · Philippe Bonnard · François Fages · Remy Kusters
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Poster
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Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Zehao Niu · Mihai Anitescu · Jie Chen
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Poster
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Scalable Subset Sampling with Neural Conditional Poisson Networks
Adeel Pervez · Phillip Lippe · Efstratios Gavves
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Poster
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Mon 2:30
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Trainability Preserving Neural Pruning
Huan Wang · Yun Fu
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Poster
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On Explaining Neural Network Robustness with Activation Path
Ziping Jiang
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Oral
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Mon 6:10
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Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
Arthur Jacot
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Poster
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Contextual Convolutional Networks
Shuxian Liang · Xu Shen · Tongliang Liu · Xian-Sheng Hua
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Poster
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Mon 7:30
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Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
Arthur Jacot
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Poster
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Wed 2:30
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Bispectral Neural Networks
Sophia Sanborn · Christian Shewmake · Bruno Olshausen · Christopher Hillar
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Poster
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Wed 7:30
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Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
Akiyama Shunta · Taiji Suzuki
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Poster
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Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
Mingjie Li · Yifei Wang · Yisen Wang · Zhouchen Lin
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Poster
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Tue 7:30
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Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
Guy Hacohen · Daphna Weinshall
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