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29 Results
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Poster
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Thu 9:00 |
Flows for simultaneous manifold learning and density estimation Johann Brehmer · Kyle Cranmer |
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Poster
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Wed 9:00 |
Regularizing Black-box Models for Improved Interpretability Gregory Plumb · Maruan Al-Shedivat · Ángel Alexander Cabrera · Adam Perer · Eric Xing · Ameet Talwalkar |
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Workshop
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Fri 10:45 |
Bayesian optimization by density ratio estimation Louis Tiao · Aaron Klein · Cedric Archambeau · Edwin Bonilla · Matthias W Seeger · Fabio Ramos |
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Poster
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Mon 21:00 |
Interventional Few-Shot Learning Zhongqi Yue · Hanwang Zhang · Qianru Sun · Xian-Sheng Hua |
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Poster
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Thu 9:00 |
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm Gersende Fort · Eric Moulines · Hoi-To Wai |
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Poster
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Wed 21:00 |
Estimation of Skill Distribution from a Tournament Ali Jadbabaie · Anuran Makur · Devavrat Shah |
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Spotlight
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Wed 20:10 |
Estimation of Skill Distribution from a Tournament Ali Jadbabaie · Anuran Makur · Devavrat Shah |
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Oral
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Tue 6:15 |
Causal Intervention for Weakly-Supervised Semantic Segmentation Dong Zhang · Hanwang Zhang · Jinhui Tang · Xian-Sheng Hua · Qianru Sun |
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Poster
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Tue 9:00 |
Causal Intervention for Weakly-Supervised Semantic Segmentation Dong Zhang · Hanwang Zhang · Jinhui Tang · Xian-Sheng Hua · Qianru Sun |
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Poster
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Wed 9:00 |
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective Kaixuan Huang · Yuqing Wang · Molei Tao · Tuo Zhao |
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Poster
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Thu 21:00 |
Estimating Training Data Influence by Tracing Gradient Descent Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan |
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Spotlight
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Thu 20:00 |
Estimating Training Data Influence by Tracing Gradient Descent Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan |