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Conference and Workshop Papers
- 2024
[c3]Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak:
Taming False Positives in Out-of-Distribution Detection with Human Feedback. AISTATS 2024: 1486-1494- 2023
- [c2]Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak:
Promises and Pitfalls of Threshold-based Auto-labeling. NeurIPS 2023 - 2022
- [c1]Heguang Lin, Mengze Li, Daniel L. Pimentel-Alarcón, Matthew L. Malloy:
Geometry of the Minimum Volume Confidence Sets. ISIT 2022: 3180-3185
Informal and Other Publications
- 2024
- [i4]Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak:
Taming False Positives in Out-of-Distribution Detection with Human Feedback. CoRR abs/2404.16954 (2024) - [i3]Yunzhou Song, Heguang Lin, Jiahui Lei, Lingjie Liu, Kostas Daniilidis:
HDGS: Textured 2D Gaussian Splatting for Enhanced Scene Rendering. CoRR abs/2412.01823 (2024) - 2022
- [i2]Heguang Lin, Mengze Li, Daniel L. Pimentel-Alarcón, Matthew Malloy:
Geometry of the Minimum Volume Confidence Sets. CoRR abs/2202.08180 (2022) - [i1]Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak:
Good Data from Bad Models : Foundations of Threshold-based Auto-labeling. CoRR abs/2211.12620 (2022)
Coauthor Index
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