Optimizing generative dialog state tracker via cascading gradient descent BJ Lee, W Lim, D Kim, KE Kim Proceedings of the 15th Annual Meeting of the Special Interest Group on …, 2014 | 18 | 2014 |
Neural dialog state tracker for large ontologies by attention mechanism Y Jang, J Ham, BJ Lee, Y Chang, KE Kim 2016 IEEE spoken language technology workshop (SLT), 531-537, 2016 | 14 | 2016 |
Dialog history construction with long-short term memory for robust generative dialog state tracking BJ Lee, KE Kim Dialogue & Discourse 7 (3), 47-64, 2016 | 11 | 2016 |
Hierarchically-partitioned Gaussian process approximation BJ Lee, J Lee, KE Kim Artificial Intelligence and Statistics, 822-831, 2017 | 7 | 2017 |
Cross-language neural dialog state tracker for large ontologies using hierarchical attention Y Jang, J Ham, BJ Lee, KE Kim IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018 | 3 | 2018 |
Representation balancing offline model-based reinforcement learning BJ Lee, J Lee, KE Kim International Conference on Learning Representations, 2021 | 1 | 2021 |
Winning the l2rpn challenge: Power grid management via semi-markov afterstate actor-critic D Yoon, S Hong, BJ Lee, KE Kim International Conference on Learning Representations (ICLR) 5, 2021 | 1 | 2021 |
Batch reinforcement learning with hyperparameter gradients B Lee, J Lee, P Vrancx, D Kim, KE Kim International Conference on Machine Learning, 5725-5735, 2020 | 1 | 2020 |
Residual neural processes BJ Lee, S Hong, KE Kim Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4545-4552, 2020 | 1 | 2020 |
Reinforcement Learning for Control with Multiple Frequencies J Lee, BJ Lee, KE Kim Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | | 2020 |
Batch Reinforcement Learning with Hyperparameter Gradients Download PDF BJ Lee, J Lee, P Vrancx, D Kim, KE Kim | | |