| Learning from failure: De-biasing classifier from biased classifier J Nam, H Cha, SS Ahn, J Lee, J Shin NeurIPS, 2020 | 378 | 2020 |
| CoL: Contrastive continual learning H Cha, J Lee, J Shin ICCV, 2021 | 301 | 2021 |
| Minimax statistical learning with Wasserstein distances J Lee, M Raginsky NeurIPS, 2018 | 199 | 2018 |
| Layer-adaptive sparsity for the magnitude-based pruning J Lee, S Park, S Mo, S Ahn, J Shin ICLR, 2021 | 146 | 2021 |
| Minimum width for universal approximation S Park, C Yun, J Lee, J Shin ICLR, 2021 | 133 | 2021 |
| Lookahead: A far-sighted alternative of magnitude-based pruning S Park*, J Lee*, S Mo, J Shin ICLR, 2020 | 102 | 2020 |
| Spread spurious attribute: Improving worst-group accuracy with spurious attribute estimation J Nam, J Kim, J Lee, J Shin ICLR, 2022 | 60 | 2022 |
| Learning bounds for risk-sensitive learning J Lee, S Park, J Shin NeurIPS, 2020 | 48 | 2020 |
| MASKER: Masked keyword regularization for reliable text classification SJ Moon, S Mo, K Lee, J Lee, J Shin AAAI, 2021 | 33 | 2021 |
| Provable memorization via deep neural networks using sub-linear parameters S Park, J Lee, C Yun, J Shin COLT, 2021 | 30 | 2021 |
| Meta-Learning sparse implicit neural representations J Lee*, J Tack*, N Lee, J Shin NeurIPS, 2021 | 27 | 2021 |
| Scalable neural video representations with learnable positional features S Kim, S Yu, J Lee, J Shin NeurIPS, 2022 | 26 | 2022 |
| Discovering and mitigating visual biases through keyword explanation Y Kim, S Mo, M Kim, K Lee, J Lee, J Shin CVPR, 2024 | 23* | 2024 |
| Modality-agnostic variational compression of implicit neural representations JR Schwarz, J Tack, YW Teh, J Lee, J Shin ICML, 2023 | 14 | 2023 |
| Learning finite-dimensional coding schemes with nonlinear reconstruction maps J Lee, M Raginsky SIAM Journal on Mathematics of Data Science, 2019 | 14 | 2019 |
| Few-shot unlearning Y Yoon, J Nam, H Yun, J Lee, D Kim, J Ok IEEE S&P, 2024 | 10* | 2024 |
| Zero-shot blind image denoising via implicit neural representations C Kim, J Lee, J Shin arXiv preprint 2204.02405, 2022 | 10 | 2022 |
| Meta-learning with self-improving momentum target J Tack, J Park, H Lee, J Lee, J Shin NeurIPS, 2022 | 8 | 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 | 7* | 2023 |
| Breaking the spurious causality of conditional generation via fairness intervention with corrective sampling J Nam, S Mo, J Lee, J Shin TMLR, 2023 | 5 | 2023 |
Jinwoo ShinKAIST Endowed Chair ProfessorVerifierad e-postadress på kaist.ac.kr
