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ORCIDSungryull Sohn
Person information
- affiliation: University of Michigan, Ann Arbor, MI, USA.
- affiliation: Korea Advanced Institute of Science and Technology, Department of Electrical Engineering, South Korea
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Books and Theses
- 2021
[b1]Sungryull Sohn:
Multi-task Hierarchical Reinforcement Learning for Compositional Tasks. University of Michigan, USA, 2021
Journal Articles
- 2019
- [j2]Hyunwoo Kim, SungRyull Sohn
, Junmo Kim:
Revisiting Gist-PCA Hashing for Near Duplicate Image Detection. J. Signal Process. Syst. 91(6): 575-586 (2019) - 2017
- [j1]Sungryull Sohn, Hyunwoo Kim, Junmo Kim:
Uncorrelated Component Analysis-Based Hashing. IEEE Trans. Image Process. 26(8): 3759-3774 (2017)
Conference and Workshop Papers
- 2024
- [c18]Jongwook Choi, Sungtae Lee, Xinyu Wang, Sungryull Sohn, Honglak Lee:
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models. AAAI 2024: 11570-11578 - 2023
- [c17]Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee:
Unsupervised Task Graph Generation from Instructional Video Transcripts. ACL (Findings) 2023: 3392-3406 - [c16]Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee:
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. EMNLP 2023: 3355-3371 - [c15]Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai:
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. EMNLP 2023: 7354-7379 - [c14]Anthony Z. Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee:
A Picture is Worth a Thousand Words: Language Models Plan from Pixels. EMNLP 2023: 16450-16459 - [c13]Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee:
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations. NeurIPS 2023 - 2022
- [c12]Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee:
Learning Parameterized Task Structure for Generalization to Unseen Entities. AAAI 2022: 7534-7541 - [c11]Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee:
Fast inference and transfer of compositional task structures for few-shot task generalization. UAI 2022: 1857-1865 - 2021
- [c10]Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee:
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. ICML 2021: 9780-9790 - [c9]Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh:
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. IJCAI 2021: 2219-2226 - [c8]Christopher Hoang, Sungryull Sohn, Jongwook Choi, Wilka Carvalho, Honglak Lee:
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning. NeurIPS 2021: 26963-26975 - 2020
- [c7]Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee:
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies. ICLR 2020 - [c6]Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier:
BRPO: Batch Residual Policy Optimization. IJCAI 2020: 2824-2830 - 2018
- [c5]Sungryull Sohn, Junhyuk Oh, Honglak Lee:
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies. NeurIPS 2018: 7156-7166 - 2017
- [c4]Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, Honglak Lee:
Learning to Generate Long-term Future via Hierarchical Prediction. ICML 2017: 3560-3569 - 2016
- [c3]SungRyull Sohn, Hyunwoo Kim, Junmo Kim:
Supervised Hashing via Uncorrelated Component Analysis. AAAI 2016: 236-242 - 2015
- [c2]Jiwhan Kim, Dongyoon Han, Sungryull Sohn, Junmo Kim:
Facial age estimation via extended curvature Gabor filter. ICIP 2015: 1165-1169 - 2013
- [c1]SungRyull Sohn, Hansang Lee, Heechul Jung, Junmo Kim:
High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices. ICCE 2013: 655-656
Informal and Other Publications
- 2024
- [i17]Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee:
AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents. CoRR abs/2403.08978 (2024) - 2023
- [i16]Yunseok Jang, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Moontae Lee, Honglak Lee:
Multimodal Subtask Graph Generation from Instructional Videos. CoRR abs/2302.08672 (2023) - [i15]Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee:
Unsupervised Task Graph Generation from Instructional Video Transcripts. CoRR abs/2302.09173 (2023) - [i14]Anthony Z. Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee:
A Picture is Worth a Thousand Words: Language Models Plan from Pixels. CoRR abs/2303.09031 (2023) - [i13]Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee:
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. CoRR abs/2310.16730 (2023) - [i12]Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai:
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. CoRR abs/2310.18364 (2023) - [i11]Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee:
Code Models are Zero-shot Precondition Reasoners. CoRR abs/2311.09601 (2023) - [i10]Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee:
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. CoRR abs/2312.04668 (2023) - 2022
- [i9]Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee:
Learning Parameterized Task Structure for Generalization to Unseen Entities. CoRR abs/2203.15034 (2022) - [i8]Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee:
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization. CoRR abs/2205.12648 (2022) - 2021
- [i7]Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee:
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. CoRR abs/2107.06405 (2021) - [i6]Christopher Hoang, Sungryull Sohn, Jongwook Choi, Wilka Carvalho, Honglak Lee:
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning. CoRR abs/2111.09858 (2021) - 2020
- [i5]Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee:
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies. CoRR abs/2001.00248 (2020) - [i4]Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier:
BRPO: Batch Residual Policy Optimization. CoRR abs/2002.05522 (2020) - [i3]Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh:
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments. CoRR abs/2010.15195 (2020) - 2018
- [i2]Sungryull Sohn, Junhyuk Oh, Honglak Lee:
Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies. CoRR abs/1807.07665 (2018) - 2017
- [i1]Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, Honglak Lee:
Learning to Generate Long-term Future via Hierarchical Prediction. CoRR abs/1704.05831 (2017)
Coauthor Index
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