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1934 Results
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Oral
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Wed 6:10 |
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Choe · Willie Neiswanger · Pengtao Xie · Eric Xing |
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Oral
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Wed 1:20 |
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method Tong Yang · Michael Jordan · Tatjana Chavdarova |
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Oral
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Tue 1:10 |
Learning Diffusion Bridges on Constrained Domains Xingchao Liu · Lemeng Wu · Mao Ye · Qiang Liu |
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Poster
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Learning Hierarchical Protein Representations via Complete 3D Graph Networks Limei Wang · Haoran Liu · Yi Liu · Jerry Kurtin · Shuiwang Ji |
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Poster
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Computing all Optimal Partial Transports Abhijeet Phatak · Sharath Raghvendra · CHITTARANJAN TRIPATHY · Kaiyi Zhang |
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Oral
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Mon 1:00 |
Phase2vec: dynamical systems embedding with a physics-informed convolutional network Matt Ricci · Noa Moriel · Zoe Piran · Mor Nitzan |
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Poster
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Learning Vortex Dynamics for Fluid Inference and Prediction Yitong Deng · Koven Yu · Jiajun Wu · Bo Zhu |
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Oral
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Wed 6:00 |
Binding Language Models in Symbolic Languages Zhoujun Cheng · Tianbao Xie · Peng Shi · Chengzu Li · Rahul Nadkarni · Yushi Hu · Caiming Xiong · Dragomir Radev · Mari Ostendorf · Luke Zettlemoyer · Noah Smith · Tao Yu |
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Oral
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Wed 2:10 |
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification Samuel Lavoie · Christos Tsirigotis · Max Schwarzer · Ankit Vani · Mikhail Noukhovitch · Kenji Kawaguchi · Aaron Courville |
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Oral
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Tue 6:00 |
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition Sumyeong Ahn · Jongwoo Ko · Se-Young Yun |
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Oral
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Wed 1:20 |
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes Eoin Kenny · Mycal Tucker · Julie Shah |
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Oral
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Mon 1:30 |
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati · Jérémy Rapin · Yann Ollivier |