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1221 Results
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Poster
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Thu 11:00 |
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective Haixiang Sun · Ye Shi |
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Poster
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Fri 11:00 |
On Sampling Strategies for Spectral Model Sharding Denis Korzhenkov · Christos Louizos |
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Poster
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Thu 16:30 |
Approximation Rate of the Transformer Architecture for Sequence Modeling Haotian Jiang · Qianxiao Li |
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Workshop
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Model-Agnostic Meta-Learning with Open-Ended R Aya Shabbar |
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Workshop
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Continuous latent representations for modeling precipitation with deep learning Gokul Radhakrishnan · Rahul Sundar · Nishant Parashar · Antoine Blanchard · Daiwei Wang · Boyko Dodov |
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Poster
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Wed 11:00 |
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces Luis Cubillos · Guy Revach · Matthew Mender · Joseph Costello · Hisham Temmar · Aren Hite · Diksha Anoop Kumar Zutshi · Dylan Wallace · Xiaoyong Ni · Madison Kelberman · Matt Willsey · Ruud Van Sloun · Nir Shlezinger · Parag Patil · Anne Draelos · Cynthia Chestek |
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Poster
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Thu 11:00 |
Improving Adaptivity via Over-Parameterization in Sequence Models Yicheng Li · Qian Lin |
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Poster
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Fri 11:00 |
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Miles Hutson · Isaac Kauvar · Nick Haber |
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Workshop
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Sat 11:12 |
Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation Jeff Guo · Philippe Schwaller |
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Workshop
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Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation Jeff Guo · Philippe Schwaller |
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Poster
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Thu 16:30 |
Generative Adversarial Model-Based Optimization via Source Critic Regularization Michael Yao · Yimeng Zeng · Hamsa Bastani · Jacob Gardner · James Gee · Osbert Bastani |
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Poster
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Thu 16:30 |
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong |