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177 Results
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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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Tue 21:18 |
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re |
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Spotlight
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Wed 12:48 |
LambdaNetworks: Modeling long-range Interactions without Attention Irwan Bello |
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Oral
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Thu 0:30 |
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime Atsushi Nitanda · Taiji Suzuki |
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Oral
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Mon 11:00 |
Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama |
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Oral
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Wed 12:23 |
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies T. Konstantin Rusch · Siddhartha Mishra |
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Poster
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Wed 17:00 |
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs Zhen Han · Peng Chen · Yunpu Ma · Volker Tresp |
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Poster
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Thu 9:00 |
Deconstructing the Regularization of BatchNorm Yann Dauphin · Ekin Cubuk |
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Poster
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Wed 1:00 |
Fooling a Complete Neural Network Verifier Dániel Zombori · Balázs Bánhelyi · Tibor Csendes · István Megyeri · Márk Jelasity |
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Spotlight
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Thu 3:15 |
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic Deunsol Yoon · Sunghoon Hong · Byung-Jun Lee · Kee-Eung Kim |
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Poster
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Thu 17:00 |
CPT: Efficient Deep Neural Network Training via Cyclic Precision Yonggan Fu · Han Guo · Meng Li · Xin Yang · Yining Ding · Vikas Chandra · Yingyan Lin |
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Poster
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Wed 9:00 |
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies T. Konstantin Rusch · Siddhartha Mishra |