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355 Results
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Workshop
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Score-based Graph Generative Model for Neutrino Events Classification and Reconstruction Yiming Sun · Zixing Song · Irwin King |
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Poster
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Wed 16:30 |
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme Shaojie Li · Jie Wu · Xuefeng Xiao · Fei Chao · Xudong Mao · Rongrong Ji |
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Poster
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Tue 16:30 |
TopicNet: Semantic Graph-Guided Topic Discovery Zhibin Duan · Yi.shi Xu · Bo Chen · Dongsheng Wang · Chaojie Wang · Mingyuan Zhou |
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Poster
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Thu 16:30 |
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems Sucheol Lee · Donghwan Kim |
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Poster
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Thu 16:30 |
Learning Signal-Agnostic Manifolds of Neural Fields Yilun Du · Katie Collins · Josh Tenenbaum · Vincent Sitzmann |
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Poster
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Thu 16:30 |
Bounds all around: training energy-based models with bidirectional bounds Cong Geng · Jia Wang · Zhiyong Gao · Jes Frellsen · Søren Hauberg |
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Workshop
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Tue 13:35 |
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu · Daniel Moyer · Polina Golland |
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Poster
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Thu 8:30 |
Learning to Generate Visual Questions with Noisy Supervision Shen Kai · Lingfei Wu · Siliang Tang · Yueting Zhuang · zhen he · Zhuoye Ding · Yun Xiao · Bo Long |
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Poster
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Wed 16:30 |
Adaptable Agent Populations via a Generative Model of Policies Kenneth Derek · Phillip Isola |
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Poster
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Wed 0:30 |
Learning Nonparametric Volterra Kernels with Gaussian Processes Magnus Ross · Michael T Smith · Mauricio Álvarez |
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Poster
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Thu 16:30 |
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals Lang Liu · Krishna Pillutla · Sean Welleck · Sewoong Oh · Yejin Choi · Zaid Harchaoui |
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Poster
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Wed 0:30 |
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders Amrutha Saseendran · Kathrin Skubch · Stefan Falkner · Margret Keuper |