Learning from failure: De-biasing classifier from biased classifier J Nam, H Cha, SS Ahn, J Lee, J Shin
NeurIPS, 2020
469 2020 Co H Cha, J Lee, J Shin
ICCV, 2021
382 2021 Layer-adaptive sparsity for the magnitude-based pruning J Lee, S Park, S Mo, S Ahn, J Shin
ICLR, 2021
225 2021 Minimax statistical learning with Wasserstein distances J Lee, M Raginsky
NeurIPS, 2018
214 2018 Minimum width for universal approximation S Park, C Yun, J Lee, J Shin
ICLR, 2021
160 2021 Lookahead: A far-sighted alternative of magnitude-based pruning S Park*, J Lee*, S Mo, J Shin
ICLR, 2020
117 2020 Spread spurious attribute: Improving worst-group accuracy with spurious attribute estimation J Nam, J Kim, J Lee, J Shin
ICLR, 2022
87 2022 Learning bounds for risk-sensitive learning J Lee, S Park, J Shin
NeurIPS, 2020
53 2020 Discovering and mitigating visual biases through keyword explanation Y Kim, S Mo, M Kim, K Lee, J Lee, J Shin
CVPR, 2024
41 * 2024 Meta-Learning sparse implicit neural representations J Lee*, J Tack*, N Lee, J Shin
NeurIPS, 2021
41 2021 MASKER: Masked keyword regularization for reliable text classification SJ Moon, S Mo, K Lee, J Lee, J Shin
AAAI, 2021
41 2021 Scalable neural video representations with learnable positional features S Kim, S Yu, J Lee, J Shin
NeurIPS, 2022
40 2022 Provable memorization via deep neural networks using sub-linear parameters S Park, J Lee, C Yun, J Shin
COLT, 2021
36 2021 Few-shot unlearning Y Yoon, J Nam, H Yun, J Lee, D Kim, J Ok
IEEE S&P, 2024
20 * 2024 Modality-agnostic variational compression of implicit neural representations JR Schwarz, J Tack, YW Teh, J Lee, J Shin
ICML, 2023
20 2023 Learning finite-dimensional coding schemes with nonlinear reconstruction maps J Lee, M Raginsky
SIAM Journal on Mathematics of Data Science, 2019
14 2019 Zero-shot blind image denoising via implicit neural representations C Kim, J Lee, J Shin
arXiv preprint 2204.02405, 2022
12 2022 Meta-learning with self-improving momentum target J Tack, J Park, H Lee, J Lee, J Shin
NeurIPS, 2022
9 2022 Learning large-scale neural fields via context pruned meta-learning J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz
NeurIPS, 2023
8 * 2023 Breaking the spurious causality of conditional generation via fairness intervention with corrective sampling J Nam, S Mo, J Lee, J Shin
TMLR, 2023
7 2023 
Jinwoo ShinKAIST Endowed Chair ProfessorBestätigte E-Mail-Adresse bei kaist.ac.kr