Hankook Lee

According to our database, Hankook Lee authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Holistic Molecular Representation Learning via Multi-view Fragmentation.

Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

Trans. Mach. Learn. Res., 2024

Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection.

Suhee Yoon, Sanghyu Yoon, Hankook Lee, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Woohyung Lim

CoRR, 2024

Partial-Multivariate Model for Forecasting.

Jaehoon Lee, Hankook Lee, Sungik Choi, Sungjun Cho, Moontae Lee

CoRR, 2024

Few-Shot Anomaly Detection via Personalization.

Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Dongho Seo, Woojin Yun, Wonjin Lee, Jinwoo Shin

IEEE Access, 2024

Learning Equi-Angular Representations for Online Continual Learning.

Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning.

Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee

CoRR, 2023

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models.

Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables.

Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Guiding Energy-based Models via Contrastive Latent Variables.

Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning.

Huiwon Jang, Hankook Lee, Jinwoo Shin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck.

Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Meta-Learning with Self-Improving Momentum Target.

Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Patch-level Representation Learning for Self-supervised Vision Transformers.

Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Improving Transferability of Representations via Augmentation-Aware Self-Supervision.

Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning.

Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Improved Retrosynthetic Planning.

Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin

Proceedings of the 38th International Conference on Machine Learning, 2021

GTA: Graph Truncated Attention for Retrosynthesis.

Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Guiding Deep Molecular Optimization with Genetic Exploration.

Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-supervised Label Augmentation via Input Transformations.

Hankook Lee, Sung Ju Hwang, Jinwoo Shin

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Rethinking Data Augmentation: Self-Supervision and Self-Distillation.

Hankook Lee, Sung Ju Hwang, Jinwoo Shin

CoRR, 2019

Learning What and Where to Transfer.

Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Anytime Neural Prediction via Slicing Networks Vertically.

Hankook Lee, Jinwoo Shin

CoRR, 2018