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177 Results
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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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Poster
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Wed 9:00 |
Iterated learning for emergent systematicity in VQA Ankit Vani · Max Schwarzer · Yuchen Lu · Eeshan Dhekane · Aaron Courville |
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Poster
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Mon 1:00 |
Spatially Structured Recurrent Modules Nasim Rahaman · Anirudh Goyal · Muhammad Waleed Gondal · Manuel Wuthrich · Stefan Bauer · Yash Sharma · Yoshua Bengio · Bernhard Schoelkopf |
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Spotlight
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Tue 12:50 |
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror |
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Spotlight
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Wed 20:50 |
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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Mon 1:00 |
On the Universality of the Double Descent Peak in Ridgeless Regression David Holzmüller |
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Spotlight
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Wed 4:40 |
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas · Yuxuan Zhang · Florian Kerschbaum |
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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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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 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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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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Oral
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Thu 0:30 |
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime Atsushi Nitanda · Taiji Suzuki |