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Results 1-8 of 8 (Search time: 0.004 seconds).

NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
1
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

Lee, Kibok; Lee, Kimin; Shin, Jinwoo; Lee, Honglak, IEEE International Conference on Computer Vision, pp.312 - 321, IEEE, 2019-10-29

2
Incremental learning with unlabeled data in the wild

Lee, Kibok; Lee, Kimin; Shin, Jinwoo; Lee, Honglak, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019, pp.29 - 32, IEEE Computer Society, 2019-06

3
Hierarchical Novelty Detection for Visual Object Recognition

Lee, Kibok; Lee, Kimin; Min, Kyle; Zhang, Yuting; Shin, Jinwoo; Lee, Honglak, 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.1034 - 1042, IEEE Computer Society, 2018-06-20

4
Robust Inference via Generative Classifiers for Handling Noisy Labels

Lee, Kimin; Lee, Kibok; Lee, Honglak; Li, Bo; Shin, Jinwoo, 36th International Conference on Machine Learning, ICML 2019, ICML Committee, 2019-06-13

5
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

Lee, Kimin; Lee, Kibok; Shin, Jinwoo; Lee, Honglak, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27

6
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Lee, Kimin; Lee, Kibok; Lee, Honglak; Shin, Jinwoo, 32nd Conference on Neural Information Processing Systems (NIPS), Neural Information Processing Systems Foundation, 2018-12-06

7
Improving Transferability of Representations via Augmentation-Aware Self-Supervision

Lee, Hankook; Lee, Kibok; Lee, Kimin; Lee, Honglak; Shin, Jinwoo, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-07

8
Training Confidence-Calibrated Classifiers for Detecting Out-of-Distribution Samples

Lee, Kimin; Lee, Kibok; Lee, Honglak; Shin, Jinwoo, 6th International Conference on Learning Representations, ICLR 2018, 6th International Conference on Learning Representations, ICLR 2018, 2018-05-01

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