Подписаться
Jaeho Lee
Jaeho Lee
Подтвержден адрес электронной почты в домене postech.ac.kr - Главная страница
Название
Процитировано
Процитировано
Год
Minimax statistical learning with Wasserstein distances
J Lee, M Raginsky
Neural Information Processing Systems (NeurIPS), 2018
125*2018
Learning from failure: De-biasing classifier from biased classifier
J Nam, H Cha, SS Ahn, J Lee, J Shin
Neural Information Processing Systems (NeurIPS), 2020
982020
Minimum width for universal approximation
S Park, C Yun, J Lee, J Shin
International Conference on Learning Representations (ICLR), 2021
522021
Lookahead: A far-sighted alternative of magnitude-based pruning
S Park*, J Lee*, S Mo, J Shin
International Conference on Learning Representations (ICLR), 2020
522020
CoL: Contrastive continual learning
H Cha, J Lee, J Shin
International Conference on Computer Vision (ICCV), 2021
332021
Layer-adaptive sparsity for the magnitude-based pruning
J Lee, S Park, S Mo, S Ahn, J Shin
International Conference on Learning Representations (ICLR), 2021
322021
Learning bounds for risk-sensitive learning
J Lee, S Park, J Shin
Neural Information Processing Systems (NeurIPS), 2020
242020
Learning finite-dimensional coding schemes with nonlinear reconstruction maps
J Lee, M Raginsky
SIAM Journal on Mathematics of Data Science (SIMODS), 2019
132019
Provable memorization via deep neural networks using sub-linear parameters
S Park, J Lee, C Yun, J Shin
Conference on Learning Theory (COLT), 2021
102021
MASKER: Masked keyword regularization for reliable text classification
SJ Moon, S Mo, K Lee, J Lee, J Shin
AAAI Conference on Artificial Intelligence (AAAI), 2021
82021
Meta-Learning sparse implicit neural representations
J Lee, J Tack, N Lee, J Shin
Neural Information Processing Systems (NeurIPS), 2021
42021
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
J Nam, J Kim, J Lee, J Shin
International Conference on Learning Representations, 2021
42021
Zero-shot Blind Image Denoising via Implicit Neural Representations
C Kim, J Lee, J Shin
arXiv preprint arXiv:2204.02405, 2022
12022
Robustness and generalization guarantees for statistical learning of generative models
J Lee
University of Illinois at Urbana-Champaign, 2019
2019
On MMSE estimation from quantized observations in the nonasymptotic regime
J Lee, M Raginsky, P Moulin
IEEE International Symposium on Information Theory (ISIT), 2015
2015
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–15