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266 Results
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Workshop
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Fri 12:25 |
Inference in Network-based Epidemiological Simulations with Probabilistic Programming Niklas Smedemark-Margulies |
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Spotlight
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Mon 3:40 |
Generalization in data-driven models of primary visual cortex Konstantin-Klemens Lurz · Mohammad Bashiri · Konstantin Willeke · Akshay Jagadish · Eric Wang · Edgar Walker · Santiago Cadena · Taliah Muhammad · Erick M Cobos · Andreas Tolias · Alexander S Ecker · Fabian Sinz |
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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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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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Spotlight
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Wed 19:25 |
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks Shengyu Zhao · Jonathan Cui · Yilun Sheng · Yue Dong · Xiao Liang · Eric Chang · Yan Xu |
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Spotlight
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Wed 16:45 |
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff · Meire Fortunato · Alvaro Sanchez Gonzalez · Peter Battaglia |
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Poster
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Wed 9:00 |
Early Stopping in Deep Networks: Double Descent and How to Eliminate it Reinhard Heckel · Fatih Furkan Yilmaz |
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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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Mon 1:00 |
On the Universality of the Double Descent Peak in Ridgeless Regression David Holzmüller |
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Oral
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Thu 19:00 |
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma |
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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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Poster
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Tue 17:00 |
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning Myeongjang Pyeon · Jihwan Moon · Taeyoung Hahn · Gunhee Kim |