Yifei Ming

According to our database1, Yifei Ming authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
Int. J. Comput. Vis., February, 2024

HYPO: Hyperspherical Out-of-Distribution Generalization.
CoRR, 2024

2023
Domain Generalization via Nuclear Norm Regularization.
CoRR, 2023

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Critical Analysis of Document Out-of-Distribution Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Are Vision Transformers Robust to Spurious Correlations?
CoRR, 2022

CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection.
CoRR, 2022

Delving into Out-of-Distribution Detection with Vision-Language Representations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SIREN: Shaping Representations for Detecting Out-of-Distribution Objects.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Out-of-Distribution Detection with Deep Nearest Neighbors.
Proceedings of the International Conference on Machine Learning, 2022

POEM: Out-of-Distribution Detection with Posterior Sampling.
Proceedings of the International Conference on Machine Learning, 2022

Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

On the Impact of Spurious Correlation for Out-of-Distribution Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Efficient Exploration for Model-based Reinforcement Learning with Continuous States and Actions.
CoRR, 2020

2018
Head pose estimation with neural networks from surveillant images.
Proceedings of the Eleventh International Conference on Machine Vision, 2018


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