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Jinwoo Shin
Jinwoo Shin
KAIST Endowed Chair Professor
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
A simple unified framework for detecting out-of-distribution samples and adversarial attacks
K Lee, K Lee, H Lee, J Shin
Advances in neural information processing systems 31, 2018
19412018
Training confidence-calibrated classifiers for detecting out-of-distribution samples
K Lee, H Lee, K Lee, J Shin
arXiv preprint arXiv:1711.09325, 2017
9602017
Csi: Novelty detection via contrastive learning on distributionally shifted instances
J Tack, S Mo, J Jeong, J Shin
Advances in neural information processing systems 33, 11839-11852, 2020
5772020
Learning from failure: De-biasing classifier from biased classifier
J Nam, H Cha, S Ahn, J Lee, J Shin
Advances in Neural Information Processing Systems 33, 20673-20684, 2020
3682020
Regularizing class-wise predictions via self-knowledge distillation
S Yun, J Park, K Lee, J Shin
Proceedings of the IEEE/CVF conference on computer vision and pattern íK, 2020
3022020
Network adiabatic theorem: an efficient randomized protocol for contention resolution
S Rajagopalan, D Shah, J Shin
ACM SIGMETRICS performance evaluation review 37 (1), 133-144, 2009
2972009
Co2l: Contrastive continual learning
H Cha, J Lee, J Shin
Proceedings of the IEEE/CVF International conference on computer vision íK, 2021
2832021
M2m: Imbalanced classification via major-to-minor translation
J Kim, J Jeong, J Shin
Proceedings of the IEEE/CVF conference on computer vision and pattern íK, 2020
2312020
Freeze the discriminator: a simple baseline for fine-tuning gans
S Mo, M Cho, J Shin
arXiv preprint arXiv:2002.10964, 2020
2222020
Overcoming catastrophic forgetting with unlabeled data in the wild
K Lee, K Lee, J Shin, H Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision, 312-321, 2019
2182019
Instagan: Instance-aware image-to-image translation
S Mo, M Cho, J Shin
arXiv preprint arXiv:1812.10889, 2018
2002018
Network randomization: A simple technique for generalization in deep reinforcement learning
K Lee, K Lee, J Shin, H Lee
arXiv preprint arXiv:1910.05396, 2019
1992019
Neural adaptive content-aware internet video delivery
H Yeo, Y Jung, J Kim, J Shin, D Han
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI íK, 2018
1982018
Self-supervised label augmentation via input transformations
H Lee, SJ Hwang, J Shin
International Conference on Machine Learning, 5714-5724, 2020
1862020
Generating videos with dynamics-aware implicit generative adversarial networks
S Yu, J Tack, S Mo, H Kim, J Kim, JW Ha, J Shin
arXiv preprint arXiv:2202.10571, 2022
1792022
Distribution aligning refinery of pseudo-label for imbalanced semi-supervised learning
J Kim, Y Hur, S Park, E Yang, SJ Hwang, J Shin
Advances in neural information processing systems 33, 14567-14579, 2020
1732020
Learning what and where to transfer
Y Jang, H Lee, SJ Hwang, J Shin
International conference on machine learning, 3030-3039, 2019
1652019
Distributed random access algorithm: scheduling and congestion control
L Jiang, D Shah, J Shin, J Walrand
IEEE Transactions on Information Theory 56 (12), 6182-6207, 2010
1602010
Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble
S Lee, Y Seo, K Lee, P Abbeel, J Shin
Conference on Robot Learning, 1702-1712, 2022
1442022
Robust inference via generative classifiers for handling noisy labels
K Lee, S Yun, K Lee, H Lee, B Li, J Shin
International conference on machine learning, 3763-3772, 2019
1402019
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