Byung-Jun Lee

29 papers A* 10A 1B 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Diffusion-Based Framework for Decoupling Capacitor Placement Optimization.
IEEE Access
Seong-Hyun Hong, Jinho Lee, Byung-Jun Lee
2025 A* conf
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training.
CVPR
Myunsoo Kim, Donghyeon Ki, Seong-Woong Shim, Byung-Jun Lee
2025 J jnl
FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Pretraining.
CoRR
Myunsoo Kim, Seong-Woong Shim, Byung-Jun Lee
2025 J jnl
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning.
CoRR
Woosung Kim, Jinho Lee, Jongmin Lee, Byung-Jun Lee
2025 A* conf
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations.
ICML
Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee
2025 J jnl
NBDI: A Simple and Efficient Termination Condition for Skill Extraction from Task-Agnostic Demonstrations.
CoRR
Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee
2025 J jnl
Prior-Guided Diffusion Planning for Offline Reinforcement Learning.
CoRR
Donghyeon Ki, JunHyeok Oh, Seong-Woong Shim, Byung-Jun Lee
2025 J jnl
Semi-gradient DICE for Offline Constrained Reinforcement Learning.
CoRR
Woosung Kim, JunHo Seo, Jongmin Lee, Byung-Jun Lee
2024 J jnl
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training.
CoRR
Myunsoo Kim, Donghyeon Ki, Seong-Woong Shim, Byung-Jun Lee
2024 J jnl
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI.
IEEE Trans. Syst. Man Cybern. Syst.
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
2024 A* conf
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction.
NeurIPS
Seokin Seo, Byung-Jun Lee, Jongmin Lee, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
2024 — conf
Offline Imitation Learning by Controlling the Effective Planning Horizon.
ICPRAI (2)
Hee-Jun Ahn, Seong-Woong Shim, Byung-Jun Lee
2024 J jnl
Offline Imitation Learning by Controlling the Effective Planning Horizon.
CoRR
Hee-Jun Ahn, Seong-Woong Shim, Byung-Jun Lee
2023 — conf
Improving Neural Machine Translation with Offline Evaluations.
IJCNLP (1)
Minkyung Park, Byung-Jun Lee
2023 B conf
Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation.
CoNLL
Donghyun Lee, Minkyung Park, Byung-Jun Lee
2022 A* conf
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions.
NeurIPS
Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
2022 J jnl
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions.
CoRR
Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
2021 A* conf
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation.
ICML
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim
2021 J jnl
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation.
CoRR
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim
2021 A* conf
Representation Balancing Offline Model-based Reinforcement Learning.
ICLR
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
2021 A* conf
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic.
ICLR
Deunsol Yoon, Sunghoon Hong, Byung-Jun Lee, Kee-Eung Kim
2020 A* conf
Batch Reinforcement Learning with Hyperparameter Gradients.
ICML
Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim
2020 A* conf
Reinforcement Learning for Control with Multiple Frequencies.
NeurIPS
Jongmin Lee, Byung-Jun Lee, Kee-Eung Kim
2020 A* conf
Residual Neural Processes.
AAAI
Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim
2018 J jnl
Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention.
IEEE ACM Trans. Audio Speech Lang. Process.
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Kee-Eung Kim
2017 A conf
Hierarchically-partitioned Gaussian Process Approximation.
AISTATS
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
2016 J jnl
Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking.
Dialogue Discourse
Byung-Jun Lee, Kee-Eung Kim
2016 — conf
Neural dialog state tracker for large ontologies by attention mechanism.
SLT
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim
2014 — conf
Optimizing Generative Dialog State Tracker via Cascading Gradient Descent.
SIGDIAL Conference
Byung-Jun Lee, Woosang Lim, Daejoong Kim, Kee-Eung Kim