| Out-of-distribution Detection with Deep Nearest Neighbors Y Sun, Y Ming, X Zhu, Y Li International Conference on Machine Learning (ICML 2022), 2022 | 384 | 2022 |
| Delving into Out-of-Distribution Detection with Vision-Language Representations Y Ming, Z Cai, J Gu, Y Sun, W Li, Y Li Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 121 | 2022 |
| How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Y Ming, Y Sun, O Dia, Y Li International Conference on Learning Representations (ICLR 2023), 2023 | 111* | 2023 |
| Poem: Out-of-distribution detection with posterior sampling Y Ming, Y Fan, Y Li International Conference on Machine Learning (ICML 2022), 15650-15665, 2022 | 83 | 2022 |
| On the Impact of Spurious Correlation for Out-of-distribution Detection Y Ming, H Yin, Y Li 36th AAAI Conference on Artificial Intelligence (AAAI 2022), 2021 | 59 | 2021 |
| Siren: Shaping representations for detecting out-of-distribution objects X Du, G Gozum, Y Ming, Y Li Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 51 | 2022 |
| Model-based Reinforcement Learning for Continuous Control with Posterior Sampling Y Fan, Y Ming International Conference on Machine Learning (ICML 2021), 3078-3087, 2021 | 24 | 2021 |
| How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models? Y Ming, Y Li International Journal of Computer Vision (IJCV 2023), 2023 | 21 | 2023 |
| Are Vision Transformers Robust to Spurious Correlations? SS Ghosal, Y Ming, Y Li International Conference on Machine Learning (ICML 2022), SCIS Workshop, 2022 | 17 | 2022 |
| Domain generalization via nuclear norm regularization Z Shi, Y Ming, Y Fan, F Sala, Y Liang Conference on Parsimony and Learning, 179-201, 2024 | 15* | 2024 |
| Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models A Miyai, J Yang, J Zhang, Y Ming, Q Yu, G Irie, Y Li, H Li, Z Liu, K Aizawa arXiv preprint arXiv:2403.20331, 2024 | 5 | 2024 |
| HYPO: Hyperspherical Out-of-Distribution Generalization H Bai, Y Ming, J Katz-Samuels, Y Li The Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | 5 | 2024 |
| Dynamically reconstructing minimum spanning trees after swapping pairwise vertices ZH Fu, SB Chen, YF Ming, YQ Chen, XJ Lai IEEE Access 7, 16351-16363, 2019 | 5 | 2019 |
| A fast vertex-swap operator for the prize-collecting Steiner tree problem YF Ming, SB Chen, YQ Chen, ZH Fu International Conference on Computational Science (ICCS 2018), 553-560, 2018 | 4 | 2018 |
| A Critical Analysis of Document Out-of-Distribution Detection J Gu, Y Ming, Y Zhou, J Kuen, VI Morariu, H Zhao, R Zhang, N Barmpalios, ... Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023 | 3* | 2023 |
| Is a picture worth a thousand words? delving into spatial reasoning for vision language models J Wang, Y Ming, Z Shi, V Vineet, X Wang, N Joshi arXiv preprint arXiv:2406.14852, 2024 | 2 | 2024 |
| Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey A Miyai, J Yang, J Zhang, Y Ming, Y Lin, Q Yu, G Irie, S Joty, Y Li, H Li, ... arXiv preprint arXiv:2407.21794, 2024 | 1 | 2024 |
| Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models Y Ming, Y Li International Conference on Machine Learning (ICML 2024), 2024 | 1 | 2024 |
| Unsolvable Problem Detection for Vision Language Models A Miyai, J Yang, J Zhang, Y Ming, Q Yu, G Irie, Y Li, H Li, Z Liu, K Aizawa ICLR 2024 Workshop on Reliable and Responsible Foundation Models, 2024 | 1 | 2024 |
| Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment T Dinh, J Sohn, S Rajput, T Ossowski, Y Ming, J Hu, D Papailiopoulos, ... Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022 | 1 | 2022 |
Sharon LiUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu