| Online continual learning in image classification: An empirical survey Z Mai, R Li, J Jeong, D Quispe, H Kim, S Sanner Neurocomputing 469, 28-51, 2022 | 327 | 2022 |
| Online class-incremental continual learning with adversarial shapley value J Jeong*, Z Mai*, D Shim*, S Sanner, H Kim, J Jang Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9630-9638, 2021 | 167 | 2021 |
| Batch-level experience replay with review for continual learning Z Mai, H Kim, J Jeong, S Sanner CVPR2020 CLVision Challenge, 2020 | 21 | 2020 |
| An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming J Jeong, P Jaggi, A Butler, S Sanner International Conference on Machine Learning (ICML-22), 2022 | 8 | 2022 |
| pyrddlgym: From rddl to gym environments A Taitler, M Gimelfarb, J Jeong, S Gopalakrishnan, M Mladenov, X Liu, ... arXiv preprint arXiv:2211.05939, 2022 | 7 | 2022 |
| Bayesian optimization for a multiple-component system with target values J Jeong, H Shin Computers & Industrial Engineering 157, 107310, 2021 | 6 | 2021 |
| Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization J Jeong, X Wang, M Gimelfarb, H Kim, B Abdulhai, S Sanner International Conference on Learning Representations, 2022 | 5 | 2022 |
| Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions J Jeong, P Jaggi, S Sanner In Proceedings of the 30th International Joint Conference on Artificial …, 2021 | 4 | 2021 |
| A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs N Patton, J Jeong, M Gimelfarb, S Sanner AAAI Conference on Artificial Intelligence (AAAI), 2022 | 3 | 2022 |
| Factual and Personalized Recommendations using Language Models and Reinforcement Learning J Jeong, Y Chow, G Tennenholtz, CW Hsu, A Tulepbergenov, ... arXiv preprint arXiv:2310.06176, 2023 | 1 | 2023 |
| Demystifying Embedding Spaces using Large Language Models G Tennenholtz, Y Chow, CW Hsu, J Jeong, L Shani, A Tulepbergenov, ... arXiv preprint arXiv:2310.04475, 2023 | 1 | 2023 |
| RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation N Patton, J Jeong, M Gimelfarb, S Sanner arXiv preprint arXiv:2106.07260, 2021 | 1 | 2021 |
| Factual and Personalized Recommendation Language Modeling with Reinforcement Learning J Jeong, Y Chow, G Tennenholtz, CW Hsu, A Tulepbergenov, ... | | 2023 |
| A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination J Jeong, S Sanner, A Kumar International Conference on Integration of Constraint Programming …, 2023 | | 2023 |
| Online class-incremental continual learning with adversarial shapley value S Dongsub, MAI Zheda, J Jeong, S Sanner, H Kim, J Jongseong US Patent App. 17/331,332, 2021 | | 2021 |
| End-to-End Risk-Aware Planning by Gradient Descent N Patton, J Jeong, M Gimelfarb, S Sanner PRL Workshop – Bridging the Gap Between AI Planning and Reinforcement Learning, 2021 | | 2021 |
Scott SannerUniversity of TorontoПотвърден имейл адрес: mie.utoronto.ca
