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2020 – today
- 2024
[j2]Sangkyung Kwak
, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Dongho Seo, Woojin Yun, Wonjin Lee, Jinwoo Shin:
Few-Shot Anomaly Detection via Personalization. IEEE Access 12: 11035-11051 (2024)- [j1]Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin:
Holistic Molecular Representation Learning via Multi-view Fragmentation. Trans. Mach. Learn. Res. 2024 (2024) - [c15]Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi:
Learning Equi-Angular Representations for Online Continual Learning. CVPR 2024: 23933-23942 - [i18]Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi:
Learning Equi-angular Representations for Online Continual Learning. CoRR abs/2404.01628 (2024) - [i17]Jaehoon Lee, Hankook Lee, Sungik Choi, Sungjun Cho, Moontae Lee:
Partial-Multivariate Model for Forecasting. CoRR abs/2408.09703 (2024) - [i16]Suhee Yoon, Sanghyu Yoon, Hankook Lee, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Woohyung Lim:
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection. CoRR abs/2408.14841 (2024) - 2023
- [c14]Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin:
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. CVPR 2023: 16206-16218 - [c13]Huiwon Jang, Hankook Lee, Jinwoo Shin:
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning. ICLR 2023 - [c12]Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin:
Guiding Energy-based Models via Contrastive Latent Variables. ICLR 2023 - [c11]Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin:
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. ICLR 2023 - [c10]Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee:
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models. NeurIPS 2023 - [i15]Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin:
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. CoRR abs/2303.00918 (2023) - [i14]Huiwon Jang, Hankook Lee, Jinwoo Shin:
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning. CoRR abs/2303.00996 (2023) - [i13]Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin:
Guiding Energy-based Models via Contrastive Latent Variables. CoRR abs/2303.03023 (2023) - [i12]Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin:
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck. CoRR abs/2303.14096 (2023) - [i11]Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee:
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning. CoRR abs/2309.04082 (2023) - [i10]Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee:
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models. CoRR abs/2312.02615 (2023) - 2022
- [c9]Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin:
Patch-level Representation Learning for Self-supervised Vision Transformers. CVPR 2022: 8344-8353 - [c8]Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin:
Meta-Learning with Self-Improving Momentum Target. NeurIPS 2022 - [i9]Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin:
Patch-level Representation Learning for Self-supervised Vision Transformers. CoRR abs/2206.07990 (2022) - [i8]Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin:
Meta-Learning with Self-Improving Momentum Target. CoRR abs/2210.05185 (2022) - 2021
- [c7]Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. AAAI 2021: 531-539 - [c6]Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin:
Self-Improved Retrosynthetic Planning. ICML 2021: 5486-5495 - [c5]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI 2021: 2673-2679 - [c4]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. NeurIPS 2021: 17710-17722 - [i7]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR abs/2105.00795 (2021) - [i6]Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin:
Self-Improved Retrosynthetic Planning. CoRR abs/2106.04880 (2021) - [i5]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. CoRR abs/2111.09613 (2021) - 2020
- [c3]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Self-supervised Label Augmentation via Input Transformations. ICML 2020: 5714-5724 - [c2]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. NeurIPS 2020 - [i4]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. CoRR abs/2007.04897 (2020)
2010 – 2019
- 2019
- [c1]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. ICML 2019: 3030-3039 - [i3]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. CoRR abs/1905.05901 (2019) - [i2]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Rethinking Data Augmentation: Self-Supervision and Self-Distillation. CoRR abs/1910.05872 (2019) - 2018
- [i1]Hankook Lee, Jinwoo Shin:
Anytime Neural Prediction via Slicing Networks Vertically. CoRR abs/1807.02609 (2018)
Coauthor Index
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