| Promises and pitfalls of threshold-based auto-labeling H Vishwakarma, H Lin, F Sala, R Korlakai Vinayak Advances in Neural Information Processing Systems 36, 51955-51990, 2023 | 19 | 2023 |
| Taming false positives in out-of-distribution detection with human feedback H Vishwakarma, H Lin, RK Vinayak arXiv preprint arXiv:2404.16954, 2024 | 13 | 2024 |
| Hdgs: Textured 2d gaussian splatting for enhanced scene rendering Y Song, H Lin, J Lei, L Liu, K Daniilidis arXiv preprint arXiv:2412.01823, 2024 | 7 | 2024 |
| Human-in-the-loop out-of-distribution detection with false positive rate control H Vishwakarma, H Lin, R Vinayak NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023 | 2 | 2023 |
| Adaptive Out-of-Distribution Detection with Human-in-the-Loop H Lin, H Vishwakarma, RK Vinayak ICML 2022 Workshop on Human-Machine Collaboration and Teaming, Baltimore, 2022 | 1 | 2022 |
| Octopi 2.0: Open and Scalable Microscopy Platform for AI-powered Diagnostic Applications H Li, H Lin, P Shrestha, R Bhansali, Y Yan, J Pannu, K Marx, W Ouyang, ... medRxiv, 2025.03. 21.25324364, 2025 | | 2025 |
| Geometry of the Minimum Volume Confidence Sets H Lin, M Li, D Pimentel-Alarcón, ML Malloy 2022 IEEE International Symposium on Information Theory (ISIT), 3180-3185, 2022 | | 2022 |
| Understanding Threshold-based Auto-labeling: The Good, the Bad, and the Terra Incognita H Vishwakarma, H Lin, F Sala, R Vinayak NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 0 | | |
