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Yifei Ming
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Out-of-distribution Detection with Deep Nearest Neighbors
Y Sun, Y Ming, X Zhu, Y Li
International Conference on Machine Learning (ICML 2022), 2022
2462022
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
69*2023
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
622022
Poem: Out-of-distribution detection with posterior sampling
Y Ming, Y Fan, Y Li
International Conference on Machine Learning (ICML 2022), 15650-15665, 2022
602022
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
462021
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
312022
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
Y Fan, Y Ming
International Conference on Machine Learning (ICML 2021), 3078-3087, 2021
202021
Are Vision Transformers Robust to Spurious Correlations?
SS Ghosal, Y Ming, Y Li
International Conference on Machine Learning (ICML 2022), SCIS Workshop, 2022
112022
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
62023
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
52019
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
52018
Domain Generalization with Nuclear Norm Regularization
Z Shi, Y Ming, Y Fan, F Sala, Y Liang
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022
3*2022
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
22022
HYPO: Hyperspherical Out-of-Distribution Generalization
H Bai, Y Ming, J Katz-Samuels, Y Li
arXiv preprint arXiv:2402.07785, 2024
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, ...
The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2023
Provable Out-of-Distribution Generalization in Hypersphere
H Bai, Y Ming, J Katz-Samuels, Y Li
The Twelfth International Conference on Learning Representations, 2023
2023
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Articles 1–16