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Minseon Kim
Minseon Kim
Ph.D. student, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Adversarial self-supervised contrastive learning
M Kim, J Tack, SJ Hwang
Advances in Neural Information Processing Systems 33, 2983-2994, 2020
2412020
Progressive face super-resolution via attention to facial landmark
D Kim*, M Kim*, G Kwon*, DS Kim
BMVC 2019, 2019
1452019
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
432022
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
62022
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
32023
Context-dependent Instruction Tuning for Dialogue Response Generation
JM Kwak, M Kim, SJ Hwang
arXiv preprint arXiv:2311.07006, 2023
22023
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
22023
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
12022
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
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Articles 1–13