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67 Results
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Spotlight
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Mon 19:50 |
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning Fei Feng · Ruosong Wang · Wotao Yin · Simon Du · Lin Yang |
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Poster
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Mon 21:00 |
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning Fei Feng · Ruosong Wang · Wotao Yin · Simon Du · Lin Yang |
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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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Wed 9:00 |
Learning Mutational Semantics Brian Hie · Ellen Zhong · Bryan Bryson · Bonnie Berger |
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Poster
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Wed 9:00 |
Intra-Processing Methods for Debiasing Neural Networks Yash Savani · Colin White · Naveen Sundar Govindarajulu |
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Poster
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Tue 9:00 |
Influence-Augmented Online Planning for Complex Environments Jinke He · Miguel Suau · Frans Oliehoek |
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Poster
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Tue 9:00 |
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model Steffen Czolbe · Oswin Krause · Ingemar Cox · Christian Igel |
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Poster
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Tue 21:00 |
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh · Been Kim · Sercan Arik · Chun-Liang Li · Tomas Pfister · Pradeep Ravikumar |
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Spotlight
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Tue 20:20 |
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante |
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Spotlight
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Thu 7:50 |
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning Shreyas Fadnavis · Joshua Batson · Eleftherios Garyfallidis |
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Poster
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Thu 9:00 |
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection Zeyi Huang · Yang Zou · B. V. K. Vijaya Kumar · Dong Huang |
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Poster
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Tue 21:00 |
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante |