Hankook Lee

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Diffusion Model

Novelty Detection

Information Bottleneck

Top Venues

Publications

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 (2024)
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)
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 (2024)
Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models. CoRR (2023)
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
Guiding Energy-based Models via Contrastive Latent Variables. CoRR (2023)
Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models. NeurIPS (2023)
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. ICLR (2023)
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck. CoRR (2023)
Huiwon Jang, Hankook Lee, Jinwoo Shin
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning. ICLR (2023)
Huiwon Jang, Hankook Lee, Jinwoo Shin
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning. CoRR (2023)
Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning. CoRR (2023)
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. CoRR (2023)
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. CVPR (2023)
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
Guiding Energy-based Models via Contrastive Latent Variables. ICLR (2023)
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
Patch-level Representation Learning for Self-supervised Vision Transformers. CVPR (2022)
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
Patch-level Representation Learning for Self-supervised Vision Transformers. CoRR (2022)
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
Meta-Learning with Self-Improving Momentum Target. CoRR (2022)
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
Meta-Learning with Self-Improving Momentum Target. NeurIPS (2022)
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)
Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
Self-Improved Retrosynthetic Planning. CoRR (2021)
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)
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 (2021)
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. NeurIPS (2021)
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. CoRR (2021)
Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
Self-Improved Retrosynthetic Planning. ICML (2021)
Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
Guiding Deep Molecular Optimization with Genetic Exploration. NeurIPS (2020)
Hankook Lee, Sung Ju Hwang, Jinwoo Shin
Self-supervised Label Augmentation via Input Transformations. ICML (2020)
Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
Guiding Deep Molecular Optimization with Genetic Exploration. CoRR (2020)
Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin
Learning What and Where to Transfer. ICML (2019)
Hankook Lee, Sung Ju Hwang, Jinwoo Shin
Rethinking Data Augmentation: Self-Supervision and Self-Distillation. CoRR (2019)
Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin
Learning What and Where to Transfer. CoRR (2019)
Hankook Lee, Jinwoo Shin
Anytime Neural Prediction via Slicing Networks Vertically. CoRR (2018)