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Workshop
Identifying Inequity in Treatment Allocation
Yewon Byun · Dylan Sam · Zachary Lipton · Bryan Wilder
Workshop
A Closer Look at In-Context Learning under Distribution Shifts
Kartik Ahuja · David Lopez-Paz
Workshop
Fairness in Preference-based Reinforcement Learning
Umer Siddique · Abhinav Sinha · Yongcan Cao
Workshop
Towards Structured Sparsity in Transformers for Efficient Inference
Harry Dong · Beidi Chen · Yuejie Chi
Workshop
De-stereotyping Text-to-image Models through Prompt Tuning
Eunji Kim · Siwon Kim · Chaehun Shin · Sungroh Yoon
Workshop
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making
Poster
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
Tutorial
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
Poster
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