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12 Results
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Poster
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Thu 9:00 |
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification Francisco Utrera · Evan Kravitz · N. Benjamin Erichson · Rajiv Khanna · Michael W Mahoney |
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Spotlight
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Thu 19:35 |
What are the Statistical Limits of Offline RL with Linear Function Approximation? Ruosong Wang · Dean Foster · Sham M Kakade |
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Poster
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Mon 1:00 |
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch Aojun Zhou · Yukun Ma · Junnan Zhu · Jianbo Liu · Zhijie Zhang · Kun Yuan · Wenxiu Sun · Hongsheng Li |
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Poster
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Tue 1:00 |
SkipW: Resource Adaptable RNN with Strict Upper Computational Limit Tsiry MAYET · Anne Lambert · Pascal Le Guyadec · Francoise Le Bolzer · François Schnitzler |
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Poster
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Mon 9:00 |
Single-Photon Image Classification Thomas Fischbacher · Luciano Sbaiz |
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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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Mon 17:00 |
What are the Statistical Limits of Offline RL with Linear Function Approximation? Ruosong Wang · Dean Foster · Sham M Kakade |
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Poster
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Mon 1:00 |
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai · Baoyuan Wu · Yong Zhang · Yiming Li · Zhifeng Li · Shu-Tao Xia |
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Poster
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Wed 1:00 |
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li · Ruihao Gong · Xu Tan · Yang Yang · Peng Hu · Qi Zhang · fengwei yu · Wei Wang · Shi Gu |
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Poster
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Wed 9:00 |
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon · Eran Yahav |
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Workshop
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Fri 5:00 |
S2D-OLAD: From shallow to deep, overcoming limited and adverse data Colin Bellinger · Roberto Corizzo · Vincent Dumoulin · Nathalie Japkowicz |
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Poster
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Mon 17:00 |
Semi-supervised Keypoint Localization Olga Moskvyak · Frederic Maire · Feras Dayoub · Mahsa Baktashmotlagh |