Articles with public access mandates - Jinwoo ShinLearn more
Available somewhere: 23
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
Mandates: US Department of Defense
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
Context-aware dynamics model for generalization in model-based reinforcement learning
K Lee, Y Seo, S Lee, H Lee, J Shin
International Conference on Machine Learning, 5757-5766, 2020
Mandates: US Department of Defense
State entropy maximization with random encoders for efficient exploration
Y Seo, L Chen, J Shin, H Lee, P Abbeel, K Lee
International Conference on Machine Learning, 9443-9454, 2021
Mandates: US National Science Foundation, US Department of Defense
Hierarchical novelty detection for visual object recognition
K Lee, K Lee, K Min, Y Zhang, J Shin, H Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Mandates: US Department of Defense
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
Mandates: US Department of Defense
Optimality of belief propagation for crowdsourced classification
J Ok, S Oh, J Shin, Y Yi
International Conference on Machine Learning, 535-544, 2016
Mandates: US National Science Foundation
Trajectory-wise multiple choice learning for dynamics generalization in reinforcement learning
Y Seo, K Lee, I Clavera Gilaberte, T Kurutach, J Shin, P Abbeel
Advances in Neural Information Processing Systems 33, 12968-12979, 2020
Mandates: US Department of Defense
Provable memorization via deep neural networks using sub-linear parameters
S Park, J Lee, C Yun, J Shin
Conference on learning theory, 3627-3661, 2021
Mandates: US National Science Foundation, US Department of Defense
Scaling neural tangent kernels via sketching and random features
A Zandieh, I Han, H Avron, N Shoham, C Kim, J Shin
Advances in Neural Information Processing Systems 34, 1062-1073, 2021
Mandates: Swiss National Science Foundation
Contextual multi-armed bandits under feature uncertainty
S Yun, JH Nam, S Mo, J Shin
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2017
Mandates: US Department of Energy
Multi-armed bandit with additional observations
D Yun, A Proutiere, S Ahn, J Shin, Y Yi
Proceedings of the ACM on Measurement and Analysis of Computing Systems 2 (1 …, 2018
Mandates: European Commission
Synthesis of MCMC and belief propagation
SS Ahn, M Chertkov, J Shin
Advances in Neural Information Processing Systems 29, 2016
Mandates: US Department of Energy
Contrastive dual gating: Learning sparse features with contrastive learning
J Meng, L Yang, J Shin, D Fan, J Seo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation, US Department of Defense
Iterative bayesian learning for crowdsourced regression
J Ok, S Oh, Y Jang, J Shin, Y Yi
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Mandates: US National Science Foundation
Rapid mixing Swendsen-Wang sampler for stochastic partitioned attractive models
S Park, Y Jang, A Galanis, J Shin, D Stefankovic, E Vigoda
Artificial Intelligence and Statistics, 440-449, 2017
Mandates: US National Science Foundation, European Commission
Just-in-time WLANs: On-demand interference-managed WLAN infrastructures
K Lee, Y Kim, S Kim, J Shin, S Shin, S Chong
IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016
Mandates: European Commission
Minimum weight perfect matching via blossom belief propagation
SS Ahn, S Park, M Chertkov, J Shin
Advances in neural information processing systems 28, 2015
Mandates: US Department of Energy
Gauged mini-bucket elimination for approximate inference
S Ahn, M Chertkov, J Shin, A Weller
International Conference on Artificial Intelligence and Statistics, 10-19, 2018
Mandates: US Department of Energy, UK Engineering and Physical Sciences Research Council
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