Learning to generate long-term future via hierarchical prediction R Villegas, J Yang, Y Zou, S Sohn, X Lin, H Lee international conference on machine learning, 3560-3569, 2017 | 441 | 2017 |
Hierarchical reinforcement learning for zero-shot generalization with subtask dependencies S Sohn, J Oh, H Lee Neural Information Processing Systems (NeurIPS), 2018., 2018 | 108 | 2018 |
Method of fitting virtual item using human body model and system for providing fitting service of virtual item HW Kim, SW Lee, KN Kim, JS Choi, BK Koo, KS Cho, TJ Kim, SR Sohn, ... US Patent 9,607,419, 2017 | 79 | 2017 |
Meta reinforcement learning with autonomous inference of subtask dependencies S Sohn, H Woo, J Choi, H Lee International Conference on Learning Representation (ICLR), 2020, 2020 | 58 | 2020 |
Successor feature landmarks for long-horizon goal-conditioned reinforcement learning C Hoang, S Sohn, J Choi, W Carvalho, H Lee NeurIPS 2021 (Advances in neural information processing systems) 34, 26963-26975, 2021 | 34 | 2021 |
Smart device and virtual experience providing server providing virtual experience service method using digitalexperience service method using digital clothes HW Kim, KS Cho, TJ Kim, SR Sohn, JS Choi, BK Koo, KN Kim US Patent App. 14/668,658, 2015 | 24 | 2015 |
Autoguide: Automated generation and selection of state-aware guidelines for large language model agents Y Fu, DK Kim, J Kim, S Sohn, L Logeswaran, K Bae, H Lee arXiv preprint arXiv:2403.08978, 2024 | 15 | 2024 |
Facial age estimation via extended curvature Gabor filter J Kim, D Han, S Sohn, J Kim IEEE international conference on image processing (ICIP), 2015, 1165-1169, 2015 | 14 | 2015 |
Apparatus and method of reconstructing 3D clothing model TJ Kim, HW Kim, SR Sohn, KS Cho, KN Kim, JS Choi, BK Koo US Patent 9,542,769, 2017 | 12 | 2017 |
Multimodal subtask graph generation from instructional videos Y Jang, S Sohn, L Logeswaran, T Luo, M Lee, H Lee ICLR 2023 Workshop on Multimodal Representation Learning: Perks and Pitfalls, 2023 | 11 | 2023 |
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments W Carvalho, A Liang, K Lee, S Sohn, H Lee, RL Lewis, S Singh International Joint Conferences on Artificial Intelligence (IJCAI), 2021, 2020 | 11 | 2020 |
Unsupervised task graph generation from instructional video transcripts L Logeswaran, S Sohn, Y Jang, M Lee, H Lee Findings of the ACL 2023, 2023 | 9 | 2023 |
Revisiting Gist-PCA hashing for near duplicate image detection H Kim, SR Sohn, J Kim Journal of Signal Processing Systems 91, 575-586, 2019 | 9 | 2019 |
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 (ICML), 2021, 2021 | 7 | 2021 |
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 UAI 2022 (Uncertainty in Artificial Intelligence), 1857-1865, 2022 | 6 | 2022 |
Learning parameterized task structure for generalization to unseen entities A Liu, S Sohn, M Qazwini, H Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7534-7541, 2022 | 5 | 2022 |
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. 2024. 38 (10 …, 2024 | 4 | 2024 |
A picture is worth a thousand words: Language models plan from pixels AZ Liu, L Logeswaran, S Sohn, H Lee EMNLP 2023 (Conference on Empirical Methods in Natural Language Processing …, 2023 | 4 | 2023 |
Supervised hashing via uncorrelated component analysis SR Sohn, H Kim, J Kim Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 3 | 2016 |
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues S Sohn, Y Lyu, A Liu, L Logeswaran, DK Kim, D Shim, H Lee EMNLP 2023 (Conference on Empirical Methods in Natural Language Processing …, 2023 | 2 | 2023 |