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Improving Adversarial Robustness for Vision-Language Models (working title).
Choi, W., Ryu, S., Lee, J., Han, D. J., & Moon, J.
(under review, 2025) -
Adaptive Energy Alignment for Accelerating Test-Time Adaptation.
Choi, W., Kim, D. Y., Park, J., Lee, J., Park, Y., Han, D. J., & Moon, J.
In The Thirteenth International Conference on Learning Representations (ICLR), Apr. 2025. -
Consistency-guided temperature scaling using style and content information for out-of-domain calibration.
Choi, W., Park, J., Han, D. J., Park, Y., & Moon, J.
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024. -
Active learning for object detection with evidential deep learning and hierarchical uncertainty aggregation.
Park, Y., Choi, W., Kim, S., Han, D. J., & Moon, J.
In The Eleventh International Conference on Learning Representations (ICLR), Apr. 2023. -
Distribution Aware Active Learning via Gaussian Mixtures.
Park, Y., Han, D. J., Park, J., Choi, W., Kousar, H., & Moon, J.
In ICLR 2023 Workshop on Pitfalls of limited data and computation for Trustworthy ML, Apr. 2023. -
Active Object Detection with Epistemic Uncertainty and Hierarchical Information Aggregation.
Park, Y., Kim, S., Choi, W., Han, D. J., & Moon, J.
In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2022.