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10 Results
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Poster
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Thu 9:00 |
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen · Zhourong Chen · Jaehoon Lee |
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Poster
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Wed 9:00 |
Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit Ben Adlam · Jaehoon Lee · Lechao Xiao · Jeffrey Pennington · Jasper Snoek |
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Poster
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Tue 1:00 |
Large-width functional asymptotics for deep Gaussian neural networks Daniele Bracale · Stefano Favaro · Sandra Fortini · Stefano Peluchetti |
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Poster
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Mon 9:00 |
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms Arda Sahiner · Tolga Ergen · John M Pauly · Mert Pilanci |
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Poster
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Thu 17:00 |
Minimum Width for Universal Approximation Sejun Park · Chulhee Yun · Jaeho Lee · Jinwoo Shin |
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Spotlight
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Tue 20:10 |
Minimum Width for Universal Approximation Sejun Park · Chulhee Yun · Jaeho Lee · Jinwoo Shin |
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Poster
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Tue 17:00 |
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth Thao Nguyen · Maithra Raghu · Simon Kornblith |
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Poster
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Tue 9:00 |
Are wider nets better given the same number of parameters? Anna Golubeva · Guy Gur-Ari · Behnam Neyshabur |
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Poster
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Wed 1:00 |
Locally Free Weight Sharing for Network Width Search Xiu Su · Shan You · Tao Huang · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu |
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Spotlight
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Tue 21:33 |
Locally Free Weight Sharing for Network Width Search Xiu Su · Shan You · Tao Huang · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu |