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174 Results
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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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Oral
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Tue 11:00 |
Iterated learning for emergent systematicity in VQA Ankit Vani · Max Schwarzer · Yuchen Lu · Eeshan Dhekane · Aaron Courville |
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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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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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Tue 5:28 |
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz |
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Poster
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Tue 1:00 |
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz |
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Poster
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Tue 1:00 |
Hyperbolic Neural Networks++ Ryohei Shimizu · YUSUKE Mukuta · Tatsuya Harada |
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Poster
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Mon 9:00 |
Teaching Temporal Logics to Neural Networks Christopher Hahn · Frederik Schmitt · Jens Kreber · Markus Rabe · Bernd Finkbeiner |