Подписаться
Jinwoo Shin
Jinwoo Shin
Associate Professor, KAIST AI & EE
Подтвержден адрес электронной почты в домене kaist.ac.kr - Главная страница
Название
Процитировано
Процитировано
Год
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
7592018
Training confidence-calibrated classifiers for detecting out-of-distribution samples
K Lee, H Lee, K Lee, J Shin
arXiv preprint arXiv:1711.09325, 2017
5142017
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
2862009
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
1672020
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
1422010
Instagan: Instance-aware image-to-image translation
S Mo, M Cho, J Shin
arXiv preprint arXiv:1812.10889, 2018
1412018
Randomized scheduling algorithm for queueing networks
D Shah, J Shin
The Annals of Applied Probability 22 (1), 128-171, 2012
1212012
Randomized scheduling algorithm for queueing networks
D Shah, J Shin
The Annals of Applied Probability 22 (1), 128-171, 2012
1212012
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
982018
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
972020
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
952019
Large-scale log-determinant computation through stochastic Chebyshev expansions
I Han, D Malioutov, J Shin
International Conference on Machine Learning, 908-917, 2015
872015
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
852019
Self-supervised label augmentation via input transformations
H Lee, SJ Hwang, J Shin
International Conference on Machine Learning, 5714-5724, 2020
84*2020
Dynamics in congestion games
D Shah, J Shin
ACM SIGMETRICS Performance Evaluation Review 38 (1), 107-118, 2010
732010
Learning what and where to transfer
Y Jang, H Lee, SJ Hwang, J Shin
International Conference on Machine Learning, 3030-3039, 2019
722019
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
692020
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
692017
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
692017
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
652020
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20