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Jinwoo Shin
Jinwoo Shin
Associate Professor, KAIST AI & EE
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
8712018
Training confidence-calibrated classifiers for detecting out-of-distribution samples
K Lee, H Lee, K Lee, J Shin
arXiv preprint arXiv:1711.09325, 2017
5642017
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
2872009
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
2142020
Instagan: Instance-aware image-to-image translation
S Mo, M Cho, J Shin
arXiv preprint arXiv:1812.10889, 2018
1482018
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
1452010
Randomized scheduling algorithm for queueing networks
D Shah, J Shin
The Annals of Applied Probability 22 (1), 128-171, 2012
1252012
Randomized scheduling algorithm for queueing networks
D Shah, J Shin
The Annals of Applied Probability 22 (1), 128-171, 2012
1252012
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 …, 2020
1142020
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
1062019
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 …, 2018
1022018
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
952019
Self-supervised label augmentation via input transformations
H Lee, SJ Hwang, J Shin
International Conference on Machine Learning, 5714-5724, 2020
93*2020
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
932020
Large-scale log-determinant computation through stochastic Chebyshev expansions
I Han, D Malioutov, J Shin
International Conference on Machine Learning, 908-917, 2015
892015
Learning what and where to transfer
Y Jang, H Lee, SJ Hwang, J Shin
International Conference on Machine Learning, 3030-3039, 2019
862019
Freeze the discriminator: a simple baseline for fine-tuning gans
S Mo, M Cho, J Shin
arXiv preprint arXiv:2002.10964, 2020
832020
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 …, 2020
812020
Dynamics in congestion games
D Shah, J Shin
ACM SIGMETRICS Performance Evaluation Review 38 (1), 107-118, 2010
722010
Approximating spectral sums of large-scale matrices using stochastic Chebyshev approximations
I Han, D Malioutov, H Avron, J Shin
SIAM Journal on Scientific Computing 39 (4), A1558-A1585, 2017
712017
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