| Adversarial self-supervised contrastive learning M Kim, J Tack, SJ Hwang Advances in Neural Information Processing Systems 33, 2983-2994, 2020 | 234 | 2020 |
| Progressive face super-resolution via attention to facial landmark D Kim*, M Kim*, G Kwon*, DS Kim BMVC 2019, 2019 | 141 | 2019 |
| Consistency regularization for adversarial robustness J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8414-8422, 2022 | 41 | 2022 |
| Rethinking the Entropy of Instance in Adversarial Training M Kim, J Tack, J Shin, SJ Hwang First IEEE Conference on Secure and Trustworthy Machine Learning, 2023 | 9* | 2023 |
| MRI-based classification of neuropsychiatric systemic lupus erythematosus patients with self-supervised contrastive learning F Inglese*, M Kim*, GM Steup-Beekman, TWJ Huizinga, MA Van Buchem, ... Frontiers in Neuroscience, 92, 2022 | 6 | 2022 |
| Language Detoxification with Attribute-Discriminative Latent Space JM Kwak*, M Kim*, SJ Hwang The 61st Annual Meeting of the Association for Computational Linguistics, 2023, 2023 | 3 | 2023 |
| Context-dependent Instruction Tuning for Dialogue Response Generation JM Kwak, M Kim, SJ Hwang arXiv preprint arXiv:2311.07006, 2023 | 2 | 2023 |
| Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets H Lee, S An, M Kim, SJ Hwang The Eleventh International Conference on Learning Representations, 2023, 2023 | 2 | 2023 |
| Lightweight Neural Architecture Search with Parameter Remapping and Knowledge Distillation H Lee, S An, M Kim, SJ Hwang First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022 | 1 | 2022 |
| Effective Targeted Attacks for Adversarial Self-Supervised Learning M Kim, H Ha, S Son, SJ Hwang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations H Ha*, M Kim*, SJ Hwang Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
| Few-shot Transferable Robust Representation Learning via Bilevel Attacks M Kim*, H Ha*, SJ Hwang ML Safety Workshop, 36th Conference on Neural Information Processing Systems, 2022 | | 2022 |
| Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship E Ko, S Lee, M Kim, D Kim, SJ Hwang ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 0 | | |
Sung Ju HwangKAIST, DeepAutokaist.ac.kr의 이메일 확인됨
