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117 Results
Workshop
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Identifying Inequity in Treatment Allocation Yewon Byun · Dylan Sam · Zachary Lipton · Bryan Wilder |
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Workshop
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A Closer Look at In-Context Learning under Distribution Shifts Kartik Ahuja · David Lopez-Paz |
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Workshop
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Fairness in Preference-based Reinforcement Learning Umer Siddique · Abhinav Sinha · Yongcan Cao |
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Workshop
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Towards Structured Sparsity in Transformers for Efficient Inference Harry Dong · Beidi Chen · Yuejie Chi |
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Workshop
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De-stereotyping Text-to-image Models through Prompt Tuning Eunji Kim · Siwon Kim · Chaehun Shin · Sungroh Yoon |
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Workshop
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Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making |
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Poster
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Thu 16:30 |
LEVER: Learning to Verify Language-to-Code Generation with Execution Ansong Ni · Srinivasan Iyer · Dragomir Radev · Veselin Stoyanov · Scott Yih · Sida Wang · Xi Victoria Lin |
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Tutorial
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Mon 16:30 |
Self-Supervised Learning in Vision: from Research Advances to Best Practices Xinlei Chen · Ishan Misra · Randall Balestriero · Mathilde Caron · Christoph Feichtenhofer · Mark Ibrahim |
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Poster
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Thu 13:30 |
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Rame · Kartik Ahuja · Jianyu Zhang · Matthieu Cord · Leon Bottou · David Lopez-Paz |