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ORCIDByung-Jun Lee 0001
Person information
- unicode name: 이병준
- affiliation: Korea University, Department of Artificial Intelligence, Seoul, Republic of Korea
- affiliation (former): KAIST, Department of Computer Science, Daejeon, South Korea
Other persons with the same name
- Byung-Jun Lee — disambiguation page
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2020 – today
- 2024
[j3]Dong-Hee Shin
, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae-Eui Kam:
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 3084-3096 (2024)- [c14]Hee-Jun Ahn, Seong-Woong Shim, Byung-Jun Lee:
Offline Imitation Learning by Controlling the Effective Planning Horizon. ICPRAI (2) 2024: 120-150 - [c13]Seokin Seo, Byung-Jun Lee, Jongmin Lee, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim:
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction. NeurIPS 2024 - [i3]Hee-Jun Ahn, Seong-Woong Shim, Byung-Jun Lee:
Offline Imitation Learning by Controlling the Effective Planning Horizon. CoRR abs/2401.09728 (2024) - 2023
- [c12]Donghyun Lee, Minkyung Park, Byung-Jun Lee:
Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation. CoNLL 2023: 200-210 - [c11]Minkyung Park, Byung-Jun Lee:
Improving Neural Machine Translation with Offline Evaluations. IJCNLP (1) 2023: 385-397 - 2022
- [c10]Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim:
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. NeurIPS 2022 - [i2]Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim:
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. CoRR abs/2210.13373 (2022) - 2021
- [c9]Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim:
Representation Balancing Offline Model-based Reinforcement Learning. ICLR 2021 - [c8]Deunsol Yoon, Sunghoon Hong, Byung-Jun Lee, Kee-Eung Kim:
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic. ICLR 2021 - [c7]Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim:
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. ICML 2021: 6120-6130 - [i1]Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim:
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. CoRR abs/2106.10783 (2021) - 2020
- [c6]Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim:
Residual Neural Processes. AAAI 2020: 4545-4552 - [c5]Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim:
Batch Reinforcement Learning with Hyperparameter Gradients. ICML 2020: 5725-5735 - [c4]Jongmin Lee, Byung-Jun Lee, Kee-Eung Kim:
Reinforcement Learning for Control with Multiple Frequencies. NeurIPS 2020
2010 – 2019
- 2018
- [j2]Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Kee-Eung Kim:
Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2072-2082 (2018) - 2017
- [c3]Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim:
Hierarchically-partitioned Gaussian Process Approximation. AISTATS 2017: 822-831 - 2016
- [j1]Byung-Jun Lee, Kee-Eung Kim:
Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking. Dialogue Discourse 7(3): 47-64 (2016) - [c2]Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim:
Neural dialog state tracker for large ontologies by attention mechanism. SLT 2016: 531-537 - 2014
- [c1]Byung-Jun Lee, Woosang Lim, Daejoong Kim, Kee-Eung Kim:
Optimizing Generative Dialog State Tracker via Cascading Gradient Descent. SIGDIAL Conference 2014: 273-281
Coauthor Index
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