| Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis S Hong, D Yang, J Choi, H Lee IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018). Salt …, 2018 | 633 | 2018 |
| End-to-end concept word detection for video captioning, retrieval, and question answering Y Yu, H Ko, J Choi, G Kim IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017 …, 2017 | 278 | 2017 |
| Contingency-Aware Exploration in Reinforcement Learning J Choi, Y Guo, M Moczulski, J Oh, N Wu, M Norouzi, H Lee International Conference on Learning Representations (ICLR 2019), 2019 | 103 | 2019 |
| Lipschitz-constrained Unsupervised Skill Discovery S Park, J Choi, J Kim, H Lee, G Kim International Conference on Learning Representations (ICLR), 2022 | 100 | 2022 |
| Supervising neural attention models for video captioning by human gaze data Y Yu, J Choi, Y Kim, K Yoo, SH Lee, G Kim IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017 …, 2017 | 94 | 2017 |
| Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies S Sohn, H Woo, J Choi, H Lee ICLR 2020, 2020 | 59 | 2020 |
| Video captioning and retrieval models with semantic attention Y Yu, H Ko, J Choi, G Kim arXiv preprint arXiv:1610.02947 2, 2016 | 59 | 2016 |
| Environment generation for zero-shot compositional reinforcement learning I Gur, N Jaques, Y Miao, J Choi, M Tiwari, H Lee, A Faust Advances in Neural Information Processing Systems 34, 4157-4169, 2021 | 53 | 2021 |
| Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning J Choi, A Sharma, H Lee, S Levine, SS Gu International Conference on Machine Learning, 1953-1963, 2021 | 52 | 2021 |
| Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning C Hoang, S Sohn, J Choi, W Carvalho, H Lee Advances in Neural Information Processing Systems 34, 26963-26975, 2021 | 51 | 2021 |
| Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards Y Guo, J Choi, M Moczulski, S Feng, S Bengio, M Norouzi, H Lee Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 45 | 2020 |
| Open rl benchmark: Comprehensive tracked experiments for reinforcement learning S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ... arXiv preprint arXiv:2402.03046, 2024 | 19 | 2024 |
| Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks S Sohn, S Lee, J Choi, H van Seijen, M Fatemi, H Lee International Conference on Machine Learning, 2021 | 13 | 2021 |
| Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy Y Guo, J Choi, M Moczulski, S Bengio, M Norouzi, H Lee NeurIPS 2019 Deep RL workshop, 2019 | 11 | 2019 |
| Unsupervised object interaction learning with counterfactual dynamics models J Choi, S Lee, X Wang, S Sohn, H Lee Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11570 …, 2024 | 9 | 2024 |
| Fast inference and transfer of compositional task structures for few-shot task generalization S Sohn, H Woo, J Choi, L Qiang, I Gur, A Faust, H Lee Uncertainty in Artificial Intelligence, 1857-1865, 2022 | 6 | 2022 |
| SkillAct: Using Skill Abstractions Improves LLM Agents AZ Liu, J Choi, S Sohn, Y Fu, J Kim, DK Kim, X Wang, J Yoo, H Lee ICML 2024 Workshop on LLMs and Cognition, 2024 | 3 | 2024 |
| Fast Inference and Transfer of Compositional Task for Few-shot Task Generalization S Sohn, H Woo, J Choi, I Gur, A Faust, H Lee Deep RL Workshop NeurIPS 2021, 2021 | | 2021 |
Honglak LeeLG AI Research / U. MichiganVerified email at umich.edu
