Следене
Yifei Ming
Заглавие
Позовавания
Позовавания
Година
Out-of-distribution Detection with Deep Nearest Neighbors
Y Sun, Y Ming, X Zhu, Y Li
International Conference on Machine Learning (ICML 2022), 2022
2992022
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
87*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
842022
Poem: Out-of-distribution detection with posterior sampling
Y Ming, Y Fan, Y Li
International Conference on Machine Learning (ICML 2022), 15650-15665, 2022
702022
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
542021
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
382022
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
Y Fan, Y Ming
International Conference on Machine Learning (ICML 2021), 3078-3087, 2021
222021
Are Vision Transformers Robust to Spurious Correlations?
SS Ghosal, Y Ming, Y Li
International Conference on Machine Learning (ICML 2022), SCIS Workshop, 2022
122022
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
102023
Domain generalization via nuclear norm regularization
Z Shi, Y Ming, Y Fan, F Sala, Y Liang
Conference on Parsimony and Learning, 179-201, 2024
8*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
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
42018
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
12024
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
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
12022
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
Y Ming, Y Li
International Conference on Machine Learning (ICML 2024), 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, ...
Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023
2023
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
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