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7 Results
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Workshop
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Accelerating Federated Learning Through Attention on Local Model Updates Parsa Assadi · Byung Hoon Ahn · Hadi Esmaeilzadeh |
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Workshop
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Learning to Prioritize Planning Updates in Model-based Reinforcement Learning Brad Burega · John Martin · Michael Bowling |
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Poster
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Tue 9:00 |
To update or not to update? Neurons at equilibrium in deep models Andrea Bragagnolo · Enzo Tartaglione · Marco Grangetto |
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Poster
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Measuring and Reducing Model Update Regression in Structured Prediction for NLP Deng Cai · Elman Mansimov · Yi-An Lai · Yixuan Su · Lei Shu · Yi Zhang |
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Poster
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BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling Yizhao Gao · Nanyi Fei · Haoyu Lu · Zhiwu Lu · Hao Jiang · Yijie Li · Zhao Cao |
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Poster
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When to Update Your Model: Constrained Model-based Reinforcement Learning Tianying Ji · Yu Luo · Fuchun Sun · Mingxuan Jing · Fengxiang He · Wenbing Huang |
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Poster
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Thu 9:00 |
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions Lingjiao Chen · Zhihua Jin · Evan Sabri Eyuboglu · Christopher Ré · Matei Zaharia · James Zou |