Honglak Lee

Most-cited papers

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee, Kibok Lee, Honglak Lee, Jin-Woo Shin
2018Neural Information Processing Systems2,952 citations
Semantic Scholar
Similarity of Neural Network Representations Revisited
Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey E. Hinton
2019International Conference on Machine Learning2,816 citations
Semantic Scholar
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, T. Lillicrap, Ian S. Fischer, Ruben Villegas +3 more
2018International Conference on Machine Learning2,303 citations
Semantic Scholar
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum, Shi-Xiang Gu, Honglak Lee, S. Levine
2018Neural Information Processing Systems1,088 citations
Semantic Scholar
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
Todd C. Hollon, B. Pandian, A. Adapa, Esteban Urias +33 more
2020Nature Medicine669 citations Open access
Semantic Scholar
An efficient framework for learning sentence representations
Lajanugen Logeswaran, Honglak Lee
2018International Conference on Learning Representations579 citations
Semantic Scholar
Cross-Modal Contrastive Learning for Text-to-Image Generation
Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee +1 more
2021Computer Vision and Pattern Recognition459 citations Open access
Semantic Scholar
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Jacob Buckman, Danijar Hafner, G. Tucker, E. Brevdo +1 more
2018Neural Information Processing Systems382 citations
Semantic Scholar
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee
20182018 IEEE/CVF Conference on Computer Vision and Pattern Recognition363 citations Open access
Semantic Scholar
Consistency Regularization for Generative Adversarial Networks
Han Zhang, Zizhao Zhang, A. Odena, Honglak Lee
2019International Conference on Learning Representations322 citations
Semantic Scholar
Zero-Shot Entity Linking by Reading Entity Descriptions
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, K. Toutanova +2 more
2019Annual Meeting of the Association for Computational Linguistics295 citations Open access
Semantic Scholar
Neural Kinematic Networks for Unsupervised Motion Retargetting
Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee
20182018 IEEE/CVF Conference on Computer Vision and Pattern Recognition276 citations Open access
Semantic Scholar
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild
Kibok Lee, Kimin Lee, Jin-Woo Shin, Honglak Lee
2019IEEE International Conference on Computer Vision243 citations Open access
Semantic Scholar
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Ofir Nachum, Shi-Xiang Gu, Honglak Lee, S. Levine
2018International Conference on Learning Representations238 citations
Semantic Scholar
Diversity-Sensitive Conditional Generative Adversarial Networks
Dingdong Yang, Seunghoon Hong, Y. Jang, Tianchen Zhao +1 more
2019International Conference on Learning Representations226 citations
Semantic Scholar
Unsupervised Discovery of Object Landmarks as Structural Representations
Y. Zhang, Yi-Jie Guo, Yixin Jin, Yijun Luo +2 more
20182018 IEEE/CVF Conference on Computer Vision and Pattern Recognition210 citations Open access
Semantic Scholar
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu, Chaowei Xiao, Lei Yang, Xin-Chen Yan +2 more
2019arXiv.org208 citations
Semantic Scholar
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
Kimin Lee, Kibok Lee, Jin-Woo Shin, Honglak Lee
2019International Conference on Learning Representations202 citations
Semantic Scholar
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee +1 more
2020International Conference on Machine Learning178 citations
Semantic Scholar
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee +2 more
2019International Conference on Machine Learning174 citations
Semantic Scholar
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
Xin-Chen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli +4 more
2018European Conference on Computer Vision172 citations Open access
Semantic Scholar
Improved Consistency Regularization for GANs
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang +2 more
2020AAAI Conference on Artificial Intelligence171 citations Open access
Semantic Scholar
State Entropy Maximization with Random Encoders for Efficient Exploration
Younggyo Seo, Lili Chen, Jin-Woo Shin, Honglak Lee +2 more
2021International Conference on Machine Learning166 citations
Semantic Scholar
Unsupervised Learning of Object Structure and Dynamics from Videos
Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole +2 more
2019Neural Information Processing Systems165 citations
Semantic Scholar
Distilling Effective Supervision From Severe Label Noise
Zizhao Zhang, Han Zhang, Sercan Ö. Arik, Honglak Lee +1 more
2019Computer Vision and Pattern Recognition162 citations Open access
Semantic Scholar
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos
Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee +1 more
2017Computer Vision and Pattern Recognition161 citations Open access
Semantic Scholar
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas, Arkanath Pathak, Harini Kannan, D. Erhan +2 more
2019Neural Information Processing Systems154 citations
Semantic Scholar
Efficient Adversarial Training With Transferable Adversarial Examples
Haizhong Zheng, Zi-Qi Zhang, Juncheng Gu, Honglak Lee +1 more
2019Computer Vision and Pattern Recognition140 citations Open access
Semantic Scholar
Hierarchical Long-term Video Prediction without Supervision
Nevan Wichers, Ruben Villegas, D. Erhan, Honglak Lee
2018International Conference on Machine Learning140 citations
Semantic Scholar
Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations
Xin-Chen Yan, Jasmine Hsu, M. Khansari, Yun-Fei Bai +4 more
2018IEEE International Conference on Robotics and Automation127 citations Open access
Semantic Scholar
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
Ofir Nachum, Haoran Tang, Xingyu Lu, Shi-Xiang Gu +2 more
2019arXiv.org126 citations
Semantic Scholar
Content preserving text generation with attribute controls
Lajanugen Logeswaran, Honglak Lee, Samy Bengio
2018Neural Information Processing Systems123 citations
Semantic Scholar
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sung-Min Cha, Sungjun Cho, Dasol Hwang, Honglak Lee +2 more
2023AAAI Conference on Artificial Intelligence105 citations Open access
Semantic Scholar
Adversarial Defense via Learning to Generate Diverse Attacks
Y. Jang, Tian-Chen Zhao, Seunghoon Hong, Honglak Lee
2019IEEE International Conference on Computer Vision88 citations
Semantic Scholar
Learning Hierarchical Semantic Image Manipulation through Structured Representations
Seunghoon Hong, Xin-Chen Yan, Thomas E. Huang, Honglak Lee
2018Neural Information Processing Systems88 citations
Semantic Scholar
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim +3 more
2022Neural Information Processing Systems86 citations Open access
Semantic Scholar
Evolving Reinforcement Learning Algorithms
John D. Co-Reyes, Yingjie Miao, Dai-Yi Peng, E. Real +4 more
2021International Conference on Learning Representations86 citations
Semantic Scholar
Hierarchical Novelty Detection for Visual Object Recognition
Kibok Lee, Kimin Lee, Kyle Min, Y. Zhang +2 more
20182018 IEEE/CVF Conference on Computer Vision and Pattern Recognition83 citations Open access
Semantic Scholar
Predictive Information Accelerates Learning in RL
Kuang-Huei Lee, Ian Fischer, A. Liu, Yi-Jie Guo +3 more
2020Neural Information Processing Systems82 citations
Semantic Scholar
Contingency-Aware Exploration in Reinforcement Learning
Jongwook Choi, Yi-Jie Guo, Marcin Moczulski, Junhyuk Oh +3 more
2018International Conference on Learning Representations82 citations
Semantic Scholar
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
Sungryull Sohn, Junhyuk Oh, Honglak Lee
2018Neural Information Processing Systems77 citations
Semantic Scholar
High-Fidelity Synthesis with Disentangled Representation
Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee
2020European Conference on Computer Vision69 citations Open access
Semantic Scholar
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee +1 more
2021Neural Information Processing Systems67 citations
Semantic Scholar
Text-to-Image Generation Grounded by Fine-Grained User Attention
Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang
2020IEEE Workshop/Winter Conference on Applications of Computer Vision67 citations Open access
Semantic Scholar
Generative Adversarial Self-Imitation Learning
Yi-Jie Guo, Junhyuk Oh, Satinder Singh, Honglak Lee
2018arXiv.org62 citations
Semantic Scholar
Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks.
T. Hollon, B. Pandian, E. Urias, A. Save +17 more
2020Neuro-Oncology54 citations Open access
Semantic Scholar
Text as Neural Operator:Image Manipulation by Text Instruction
Tianhao Zhang, Hung-Yu Tseng, Lu Jiang, Weilong Yang +2 more
2020ACM Multimedia41 citations Open access
Semantic Scholar
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
Jongseong Jang, Daeun Kyung, Seunghyeon Kim, Honglak Lee +2 more
2022Scientific Reports40 citations Open access
Semantic Scholar
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee
2020International Conference on Learning Representations38 citations
Semantic Scholar
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards
Yi-Jie Guo, Jongwook Choi, Marcin Moczulski, Shengyu Feng +3 more
2020Neural Information Processing Systems36 citations
Semantic Scholar