Kibok Lee
Kibok Lee
Assistant Professor, Yonsei University
Verified email at - Homepage
Cited by
Cited by
A simple unified framework for detecting out-of-distribution samples and adversarial attacks
K Lee, K Lee, H Lee, J Shin
Conference on Neural Information Processing Systems, 2018
Training confidence-calibrated classifiers for detecting out-of-distribution samples
K Lee, H Lee, K Lee, J Shin
International Conference on Learning Representations, 2018
Augmenting supervised neural networks with unsupervised objectives for large-scale image classification
Y Zhang, K Lee, H Lee
International conference on machine learning, 612-621, 2016
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
K Lee, K Lee, J Shin, H Lee
Proceedings of the IEEE International Conference on Computer Vision, 312-321, 2019
Network randomization: A simple technique for generalization in deep reinforcement learning
K Lee, K Lee, J Shin, H Lee
International Conference on Learning Representations, 2020
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, 2019
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
K Lee, Y Zhu, K Sohn, CL Li, J Shin, H Lee
International Conference on Learning Representations, 2021
Towards understanding the invertibility of convolutional neural networks
AC Gilbert, Y Zhang, K Lee, Y Zhang, H Lee
International Joint Conferences on Artificial Intelligence, 2017
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
A flexible framework for online document segmentation by pairwise stroke distance learning
A Delaye, K Lee
Pattern Recognition 48 (4), 1197-1210, 2015
Shapeadv: Generating shape-aware adversarial 3d point clouds
K Lee, Z Chen, X Yan, R Urtasun, E Yumer
arXiv preprint arXiv:2005.11626, 2020
Improving transferability of representations via augmentation-aware self-supervision
H Lee, K Lee, K Lee, H Lee, J Shin
Advances in Neural Information Processing Systems 34, 17710-17722, 2021
Automatic correction of lithography hotspots with a deep generative model
W Sim, K Lee, D Yang, J Jeong, JS Hong, S Lee, H Lee
Optical Microlithography XXXII 10961, 1096105, 2019
On the equivalence of linear discriminant analysis and least squares
K Lee, J Kim
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Device and method of providing handwritten content in the same
KB Lee, A Delaye
US Patent 10,649,647, 2020
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
K Lee, H Yang, S Chakraborty, Z Cai, G Swaminathan, A Ravichandran, ...
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers
A Jain, K Lee, G Swaminathan, H Yang, B Schiele, A Ravichandran, ...
arXiv preprint arXiv:2209.05654, 2022
Robust Deep Learning in the Open World with Lifelong Learning and Representation Learning
K Lee
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