Out-of-distribution Detection with Deep Nearest Neighbors Y Sun, Y Ming, X Zhu, Y Li International Conference on Machine Learning (ICML 2022), 2022 | 338 | 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 | 98 | 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 | 96* | 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 | 79 | 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 | 54 | 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 | 41 | 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 | 22 | 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 | 15 | 2023 |
Are Vision Transformers Robust to Spurious Correlations? SS Ghosal, Y Ming, Y Li International Conference on Machine Learning (ICML 2022), SCIS Workshop, 2022 | 13 | 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 | 11* | 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 |
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 | 2 | 2024 |
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 | 2* | 2023 |
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 |
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models Y Ming, Y Li International Conference on Machine Learning (ICML 2024), 2024 | | 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 | | 2024 |
ReweightOOD: Loss Reweighting for Distance-based OOD Detection S Regmi, B Panthi, Y Ming, PK Gyawali, D Stoyanov, B Bhattarai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Publications and Preprints S Im, Y Li, Z Fang, F Liu, B Han, J Lu, M Khanov, J Burapacheep, H Bai, ... | | 2011 |
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, 0 | | |