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30 Results
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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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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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Spotlight
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Thu 5:15 |
Practical Real Time Recurrent Learning with a Sparse Approximation Jacob Menick · Erich Elsen · Utku Evci · Simon Osindero · Karen Simonyan · Alex Graves |
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Oral
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Wed 3:15 |
Rethinking Attention with Performers Krzysztof Choromanski · Valerii Likhosherstov · David Dohan · Xingyou Song · Georgiana-Andreea Gane · Tamas Sarlos · Peter Hawkins · Jared Q Davis · Afroz Mohiuddin · Lukasz Kaiser · David Belanger · Lucy J Colwell · Adrian Weller |
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Poster
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Thu 17:00 |
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis Zhong Li · Jiequn Han · Weinan E · Qianxiao Li |
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Poster
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Mon 17:00 |
SAFENet: A Secure, Accurate and Fast Neural Network Inference Qian Lou · Yilin Shen · Hongxia Jin · Lei Jiang |
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Poster
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Mon 1:00 |
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu |
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Poster
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Mon 9:00 |
PAC Confidence Predictions for Deep Neural Network Classifiers Sangdon Park · Shuo Li · Insup Lee · Osbert Bastani |
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Poster
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Tue 1:00 |
Practical Real Time Recurrent Learning with a Sparse Approximation Jacob Menick · Erich Elsen · Utku Evci · Simon Osindero · Karen Simonyan · Alex Graves |
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Poster
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Tue 17:00 |
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang · Tian Qi Chen · Christos Tsirigotis · Aaron Courville |
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Poster
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Mon 9:00 |
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym · Haggai Maron |
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Spotlight
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Thu 20:58 |
Learning a Latent Simplex in Input Sparsity Time Ainesh Bakshi · Chiranjib Bhattacharyya · Ravi Kannan · David Woodruff · Samson Zhou |