Byung-Jun Lee

Orcid: 0000-0002-0684-607X

Affiliations:
  • Korea University, Department of Artificial Intelligence, Seoul, Republic of Korea
  • KAIST, Department of Computer Science, Daejeon, South Korea (former)


According to our database1, Byung-Jun Lee authored at least 17 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024

Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Offline Imitation Learning by Controlling the Effective Planning Horizon.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

2023
Improving Neural Machine Translation with Offline Evaluations.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic.
Proceedings of the 9th International Conference on Learning Representations, 2021

Representation Balancing Offline Model-based Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Reinforcement Learning for Control with Multiple Frequencies.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Batch Reinforcement Learning with Hyperparameter Gradients.
Proceedings of the 37th International Conference on Machine Learning, 2020

Residual Neural Processes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

2017
Hierarchically-partitioned Gaussian Process Approximation.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking.
Dialogue Discourse, 2016

Neural dialog state tracker for large ontologies by attention mechanism.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

2014
Optimizing Generative Dialog State Tracker via Cascading Gradient Descent.
Proceedings of the SIGDIAL 2014 Conference, 2014


  Loading...