Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders W Grathwohl, A Wilson arXiv preprint arXiv:1612.04440, 2016 | 1547 | 2016 |
Multi-task reinforcement learning: a hierarchical Bayesian approach A Wilson, A Fern, S Ray, P Tadepalli Proceedings of the 24th international conference on Machine learning, 1015-1022, 2007 | 405 | 2007 |
A bayesian approach for policy learning from trajectory preference queries A Wilson, A Fern, P Tadepalli Advances in neural information processing systems, 1133-1141, 2012 | 212 | 2012 |
Machine‐Learning‐Based Monitoring of Laser Powder Bed Fusion B Yuan, GM Guss, AC Wilson, SP Hau‐Riege, PJ DePond, S McMains, ... Advanced Materials Technologies, 1800136, 2018 | 165 | 2018 |
Harnessing curiosity to increase correctness in end-user programming A Wilson, M Burnett, L Beckwith, O Granatir, L Casburn, C Cook, ... Proceedings of the SIGCHI conference on Human factors in computing systems …, 2003 | 148 | 2003 |
Using trajectory data to improve bayesian optimization for reinforcement learning A Wilson, A Fern, P Tadepalli The Journal of Machine Learning Research 15 (1), 253-282, 2014 | 108 | 2014 |
Graph analysis for detecting fraud, waste, and abuse in healthcare data J Liu, E Bier, A Wilson, JA Guerra-Gomez, T Honda, K Sricharan, L Gilpin, ... AI Magazine 37 (2), 33-46, 2016 | 98 | 2016 |
Automated detection and sorting of microencapsulation via machine learning A Chu, D Nguyen, SS Talathi, AC Wilson, C Ye, WL Smith, AD Kaplan, ... Lab on a Chip 19 (10), 1808-1817, 2019 | 44 | 2019 |
Transfer learning in sequential decision problems: A hierarchical bayesian approach A Wilson, A Fern, P Tadepalli Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 217-227, 2012 | 40 | 2012 |
Workshop on Unsupervised and Transfer Learning Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach A Wilson, A Fern, P Tadepalli, I Guyon, G Dror, V Lemaire, G Taylor, ... | 40* | |
Workflow-based human-in-the-loop data analytics J Liu, A Wilson, D Gunning Proceedings of the 2014 Workshop on Human Centered Big Data Research, 49, 2014 | 22 | 2014 |
Learning and transferring roles in multi-agent reinforcement A Wilson, A Fern, S Ray, P Tadepalli Proc. AAAI-08 Workshop on Transfer Learning for Complex Tasks, 2008 | 18 | 2008 |
Incorporating domain models into Bayesian optimization for RL A Wilson, A Fern, P Tadepalli Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010 | 17 | 2010 |
Incorporating Domain Models into Bayesian Optimization for Reinforcement Learning A Wilson, A Fern, P Tadepalli European Conference on Machine Learning, 2010 | 17* | 2010 |
Massive Scale Deep Learning for Detecting Extreme Climate Events SK Kim, S Ames, J Lee, C Zhang, AC Wilson, D Williams 7ths International Workshop on Climate Informatics, 2017 | 15 | 2017 |
Network explorer: Design, implementation, and real world deployment of a large network visualization tool JA Guerra-Gomez, A Wilson, J Liu, D Davies, P Jarvis, E Bier Proceedings of the International Working Conference on Advanced Visual …, 2016 | 15 | 2016 |
Bayesian Policy Search for Multi-Agent Role Discovery. A Wilson, A Fern, P Tadepalli AAAI, 2010 | 14 | 2010 |
Resolution Reconstruction of Climate Data with Pixel Recursive Model S Kim, S Ames, J Lee, C Zhang, AC Wilson, D Williams Data Mining Workshops (ICDMW), 2017 IEEE International Conference on, 313-321, 2017 | 13 | 2017 |
Bayesian role discovery for multi-agent reinforcement learning A Wilson, A Fern, P Tadepalli Proceedings of the 9th International Conference on Autonomous Agents and …, 2010 | 12 | 2010 |
Do large code models understand programming concepts? a black-box approach A Hooda, M Christodorescu, M Allamanis, A Wilson, K Fawaz, S Jha arXiv preprint arXiv:2402.05980, 2024 | 8 | 2024 |