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ORCIDMinseon Kim
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2020 – today
- 2024
[j1]Minseon Kim, Youngran Kim
, Anjail Z. Sharrief, Thy P. Nguyen:
Re-evaluating the gender gap: a cross-sectional analysis of accepted American Academy of Neurology annual meeting abstracts in 2020 and 2021. Frontiers Res. Metrics Anal. 9 (2024)- [i14]Eunji Ko, Seul Lee, Minseon Kim, Dongki Kim:
Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship. CoRR abs/2405.06663 (2024) - [i13]Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang:
Automatic Jailbreaking of the Text-to-Image Generative AI Systems. CoRR abs/2405.16567 (2024) - [i12]Hamin Koo, Minseon Kim, Sung Ju Hwang:
Optimizing Query Generation for Enhanced Document Retrieval in RAG. CoRR abs/2407.12325 (2024) - 2023
- [c8]Jin Myung Kwak, Minseon Kim, Sung Ju Hwang:
Language Detoxification with Attribute-Discriminative Latent Space. ACL (1) 2023: 10149-10171 - [c7]Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang:
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. ICLR 2023 - [c6]Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang:
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. NeurIPS 2023 - [c5]Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang:
Effective Targeted Attacks for Adversarial Self-Supervised Learning. NeurIPS 2023 - [c4]Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang:
Rethinking the Entropy of Instance in Adversarial Training. SaTML 2023: 316-326 - [i11]Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang:
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. CoRR abs/2305.16948 (2023) - [i10]Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang:
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. CoRR abs/2306.05031 (2023) - [i9]Jin Myung Kwak, Minseon Kim, Sung Ju Hwang:
Context-dependent Instruction Tuning for Dialogue Response Generation. CoRR abs/2311.07006 (2023) - 2022
- [c3]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. AAAI 2022: 8414-8422 - [i8]Seungpyo Kang, Minseon Kim, Kyoungmin Min:
Machine Learning-Aided Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries. CoRR abs/2202.06763 (2022) - [i7]Minjong Cheon, Minseon Kim, Hanseon Joo:
Design of a novel Korean learning application for efficient pronunciation correction. CoRR abs/2205.02001 (2022) - [i6]Jin Myung Kwak, Minseon Kim, Sung Ju Hwang:
Language Detoxification with Attribute-Discriminative Latent Space. CoRR abs/2210.10329 (2022) - [i5]Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang:
Targeted Adversarial Self-Supervised Learning. CoRR abs/2210.10482 (2022) - [i4]Minseon Kim, Hyeonjeong Ha, Sung Ju Hwang:
Few-shot Transferable Robust Representation Learning via Bilevel Attacks. CoRR abs/2210.10485 (2022) - 2021
- [i3]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. CoRR abs/2103.04623 (2021) - 2020
- [c2]Minseon Kim, Jihoon Tack, Sung Ju Hwang:
Adversarial Self-Supervised Contrastive Learning. NeurIPS 2020 - [i2]Minseon Kim, Jihoon Tack, Sung Ju Hwang:
Adversarial Self-Supervised Contrastive Learning. CoRR abs/2006.07589 (2020)
2010 – 2019
- 2019
- [c1]Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim:
Progressive Face Super-Resolution via Attention to Facial Landmark. BMVC 2019: 192 - [i1]Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim:
Progressive Face Super-Resolution via Attention to Facial Landmark. CoRR abs/1908.08239 (2019)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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