| Multi-class classification without multi-class labels YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira arXiv preprint arXiv:1901.00544, 2019 | 109 | 2019 |
| Guiding autonomous agents to better behaviors through human advice G Kunapuli, P Odom, JW Shavlik, S Natarajan 2013 IEEE 13th international conference on data mining, 409-418, 2013 | 41 | 2013 |
| Active advice seeking for inverse reinforcement learning P Odom, S Natarajan Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 40 | 2015 |
| Knowledge-based probabilistic logic learning P Odom, T Khot, R Porter, S Natarajan Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 27 | 2015 |
| Transfer learning via relational type matching R Kumaraswamy, P Odom, K Kersting, D Leake, S Natarajan 2015 IEEE International Conference on Data Mining, 811-816, 2015 | 23 | 2015 |
| Extracting adverse drug events from text using human advice P Odom, V Bangera, T Khot, D Page, S Natarajan Artificial Intelligence in Medicine: 15th Conference on Artificial …, 2015 | 23 | 2015 |
| Human-guided learning for probabilistic logic models P Odom, S Natarajan Frontiers in Robotics and AI 5, 56, 2018 | 21 | 2018 |
| Actively interacting with experts: A probabilistic logic approach P Odom, S Natarajan Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 18 | 2016 |
| A unified framework for knowledge intensive gradient boosting: Leveraging human experts for noisy sparse domains H Kokel, P Odom, S Yang, S Natarajan Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4460-4468, 2020 | 12 | 2020 |
| Preference-guided planning: an active elicitation approach M Das, P Odom, M Islam, J Rao, D Roth, S Natarajan arXiv preprint arXiv:1804.07404, 2018 | 12 | 2018 |
| Planning with actively eliciting preferences M Das, P Odom, MR Islam, JRJ Doppa, D Roth, S Natarajan Knowledge-Based Systems 165, 219-227, 2019 | 10 | 2019 |
| User friendly automatic construction of background knowledge: Mode construction from er diagrams AL Hayes, M Das, P Odom, S Natarajan Proceedings of the Knowledge Capture Conference, 1-8, 2017 | 10 | 2017 |
| Accelerating imitation learning in relational domains via transfer by initialization S Natarajan, P Odom, S Joshi, T Khot, K Kersting, P Tadepalli Inductive Logic Programming: 23rd International Conference, ILP 2013, Rio de …, 2014 | 8 | 2014 |
| Interactive transfer learning in relational domains R Kumaraswamy, N Ramanan, P Odom, S Natarajan KI-Künstliche Intelligenz 34, 181-192, 2020 | 5 | 2020 |
| Learning with privileged information: Decision-trees and boosting R Pasunuri, P Odom, T Khot, K Kersting, S Natarajan Proc. Int. Joint Conf. Artif. Intell. Workshop, 1-7, 2016 | 5 | 2016 |
| A probabilistic constrained clustering for transfer learning and image category discovery YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira arXiv preprint arXiv:1806.11078, 2018 | 4 | 2018 |
| Learning probabilistic logic models with human advice P Odom, T Khot, S Natarajan 2015 AAAI Spring Symposium Series, 2015 | 3 | 2015 |
| Human-in-the-loop learning for probabilistic programming S Natarajan, P Odom, T Khot, K Kersting, J Shavlik Proceedings of the Inaugural International Conference on Probabilistic …, 2018 | 2 | 2018 |
| Learning through advice-seeking via transfer P Odom, R Kumaraswamy, K Kersting, S Natarajan Inductive Logic Programming: 26th International Conference, ILP 2016, London …, 2017 | 2 | 2017 |
| Transfer learning across relational and uncertain domains: A language-bias approach R Kumaraswamy, P Odom, K Kersting, D Leake, S Natarajan ICDM (Under Review), 2015 | 2 | 2015 |
