Papers
2025
[C22] K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
Minkyeong Jeon*, Hyemin Jeong*, Yerang Kim, Jiyoung Kim, Jae Hyeon Cho, Byung-Jun Lee
Association for Computational Linguistics (ACL), 2025
[C21] Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning
Sungjune Kim*, Gyeongrok Oh*, Heeju Ko, Daehyun Ji, Dongwook Lee, Byung-Jun Lee, Sujin Jang†, Sangpil Kim†
International Conference on Machine Learning (ICML), 2025
[C20] NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
Myunsoo Kim*, Hayeong Lee*, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee
International Conference on Machine Learning (ICML), 2025
[C19] Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training
Myunsoo Kim*, Donghyeon Ki*, Seong-Woong Shim, Byung-Jun Lee
Computer Vision and Pattern Recognition (CVPR), 2025
2024
[C18] ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
Woosung Kim*, Hayeong Lee*, Jongmin Lee†, Byung-Jun Lee†
Conference on Neural Information Processing Systems (NeurIPS), 2024
[C17] Mitigating Covariate Shift in Behavioral Cloning via Robust Distribution Correction Estimation
Seokin Seo, Byung-Jun Lee, Jongmin Lee, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
Conference on Neural Information Processing Systems (NeurIPS), 2024
[C16] ARCLE: The Abstract and Reasoning Corpus Learning Environment for Reinforcement Learning
Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee†, Sundong Kim†
Conference on Lifelong Learning Agents (CoLLAs), 2024
[C15] Offline Imitation Learning by Controlling the Effective Planning Horizon
Hee-Jun Ahn*, Seong-Woong Shim*, Byung-Jun Lee
International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2024
[C14] Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization
Woosung Kim, Donghyeon Ki, Byung-Jun Lee
Annual AAAI Conference on Artificial Intelligence (AAAI), 2024 🎉Oral🎉
[J3] MARS: Multi-Agent Reinforcement Learning for Spatial-Spectral and Temporal Feature Selection in EEG-based BCI
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†, and Tae-Eui Kam†
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024
2023
[C13] Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation
DongHyun Lee, Minkyung Park, Byung-Jun Lee
Conference on Computational Natural Language Learning (CoNLL), 2023
[C12] Improving Neural Machine Translation with Offline Evaluations
Minkyung Park, Byung-Jun Lee
International Joint Conference on Natural Language Processing (IJCNLP), 2023
[C11] Adaptive Online Time-Series Prediction for Virtual Metrology in Semiconductor Manufacturing
Simon Zabrocki, Pil Sung Jo, Chan Park, Dongkyun Yim, Sunghee Yun, Byung-Jun Lee
Advanced Semiconductor Manufacturing Conference (ASMC), 2023
2022
[C10] Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
Annual Conference on Neural Information Processing Systems (NeurIPS), 2022
~ 2021
[C9] OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Jongmin Lee*, Wonseok Jeon*, Byung-Jun Lee, Joelle Pineau and Kee-Eung Kim
International Conference on Machine Learning (ICML), 2021
[C8] Representation balancing offline model-based reinforcement learning
Byung-Jun Lee, Jongmin Lee and Kee-Eung Kim
International Conference on Learning Representations (ICLR), 2021
[C7] Winning the L2RPN challenge: power grid management via semi-Markov afterstate actor-critic
Deunsol Yoon*, Sunghoon Hong*, Byung-Jun Lee and Kee-Eung Kim
International Conference on Learning Representations (ICLR), 2021
Spotlight Presentation
[C6] Reinforcement learning for control with multiple frequencies
Jongmin Lee, Byung-Jun Lee and Kee-Eung Kim
Annual Conference on Neural Information Processing Systems (NeurIPS), 2020
[C5] Batch reinforcement learning with hyperparameter gradients
Byung-Jun Lee*, Jongmin Lee*, Peter Vrancx, Dongho Kim and Kee-Eung Kim
International Conference on Machine Learning (ICML), 2020
[C4] Residual neural processes
Byung-Jun Lee, Seunghoon Hong and Kee-Eung Kim
AAAI conference on Artificial Intelligence (AAAI), 2020
[J2] Cross-language neural dialog state tracker for large ontologies using hierarchical attention
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee and Kee-Eung Kim
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2018
[C3] Hierarchically-partitioned Gaussian process approximation
Byung-Jun Lee, Jongmin Lee and Kee-Eung Kim
International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
[C2] Neural dialog state tracker for large ontologies by attention mechanism
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang and Kee-Eung Kim
IEEE Spoken Language Technology Workship (SLT), 2016
[J1] Dialog history construction with long-short term memory for robust generative dialog state tracking
Byung-Jun Lee and Kee-Eung Kim
Dialogue & Discourse (D&D), 2016
[C1] Optimizing generative dialog state tracker via cascading gradient descent
Byung-Jun Lee, Woosang Lim, Daejoong Kim and Kee-Eung Kim
Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2014