Optimizing Generative Dialog State Tracker via Cascading Gradient Descent. - Byung-Jun Lee 001; Woosang Lim; Daejoong Kim; Kee-Eung Kim (SIGDIAL Conference, 2014)

Neural dialog state tracker for large ontologies by attention mechanism. - Youngsoo Jang; Jiyeon Ham; Byung-Jun Lee 001; Youngjae Chang 001; Kee-Eung Kim (SLT, 2016)

Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking. - Byung-Jun Lee 001; Kee-Eung Kim (Dialogue Discourse, 2016)

Hierarchically-partitioned Gaussian Process Approximation. - Byung-Jun Lee 001; Jongmin Lee 004; Kee-Eung Kim (AISTATS, 2017)

Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention. - Youngsoo Jang; Jiyeon Ham; Byung-Jun Lee 001; Kee-Eung Kim (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Residual Neural Processes. - Byung-Jun Lee 001; Seunghoon Hong; Kee-Eung Kim (AAAI, 2020)

Batch Reinforcement Learning with Hyperparameter Gradients. - Byung-Jun Lee 001; Jongmin Lee 004; Peter Vrancx; Dongho Kim; Kee-Eung Kim (ICML, 2020)

Reinforcement Learning for Control with Multiple Frequencies. - Jongmin Lee 004; Byung-Jun Lee 001; Kee-Eung Kim (NeurIPS, 2020)

Representation Balancing Offline Model-based Reinforcement Learning. - Byung-Jun Lee 001; Jongmin Lee 004; Kee-Eung Kim (ICLR, 2021)

Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic. - Deunsol Yoon; Sunghoon Hong; Byung-Jun Lee 001; Kee-Eung Kim (ICLR, 2021)

OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. - Jongmin Lee 004; Wonseok Jeon; Byung-Jun Lee 001; Joelle Pineau; Kee-Eung Kim (ICML, 2021)

Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. - Haanvid Lee; Jongmin Lee 004; Yunseon Choi; Wonseok Jeon; Byung-Jun Lee 001; Yung-Kyun Noh; Kee-Eung Kim (NeurIPS, 2022)

Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation. - Donghyun Lee; Minkyung Park; Byung-Jun Lee 001 (CoNLL, 2023)

Improving Neural Machine Translation with Offline Evaluations. - Minkyung Park; Byung-Jun Lee 001 (IJCNLP (1), 2023)

Offline Imitation Learning by Controlling the Effective Planning Horizon. - Hee-Jun Ahn; Seong-Woong Shim; Byung-Jun Lee 001 (ICPRAI (2), 2024)

Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction. - Seokin Seo; Byung-Jun Lee 001; Jongmin Lee 004; HyeongJoo Hwang; Hongseok Yang; Kee-Eung Kim (NeurIPS, 2024)

Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training. - Myunsoo Kim; Donghyeon Ki; Seong-Woong Shim; Byung-Jun Lee 001 (CoRR, 2024)

MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI. - Dong-Hee Shin; Young-Han Son; Jun-Mo Kim 001; Hee-Jun Ahn; Jun-Ho Seo; Chang-Hoon Ji; Ji-Wung Han; Byung-Jun Lee 001; Dong-Ok Won; Tae-Eui Kam (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training. - Myunsoo Kim; Donghyeon Ki; Seong-Woong Shim; Byung-Jun Lee 001 (CVPR, 2025)

NBDI: A Simple and Efficient Termination Condition for Skill Extraction from Task-Agnostic Demonstrations. - Myunsoo Kim; Hayeong Lee; Seong-Woong Shim; JunHo Seo; Byung-Jun Lee 001 (CoRR, 2025)

Prior-Guided Diffusion Planning for Offline Reinforcement Learning. - Donghyeon Ki; JunHyeok Oh; Seong-Woong Shim; Byung-Jun Lee 001 (CoRR, 2025)

FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Pretraining. - Myunsoo Kim; Seong-Woong Shim; Byung-Jun Lee 001 (CoRR, 2025)