Phillip Odom
Phillip Odom
Потвърден имейл адрес: indiana.edu
Multi-class classification without multi-class labels
YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira
arXiv preprint arXiv:1901.00544, 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
Active advice seeking for inverse reinforcement learning
P Odom, S Natarajan
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 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
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
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
Human-guided learning for probabilistic logic models
P Odom, S Natarajan
Frontiers in Robotics and AI 5, 56, 2018
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
Actively interacting with experts: A probabilistic logic approach
P Odom, S Natarajan
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
Preference-guided planning: an active elicitation approach
M Das, P Odom, MR Islam, J Rao, D Roth, S Natarajan
arXiv preprint arXiv:1804.07404, 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
User friendly automatic construction of background knowledge: Mode construction from er diagrams
AL Hayes, M Das, P Odom, S Natarajan
Proceedings of the 9th Knowledge Capture Conference, 1-8, 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
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
Interactive transfer learning in relational domains
R Kumaraswamy, N Ramanan, P Odom, S Natarajan
KI-Künstliche Intelligenz 34 (2), 181-192, 2020
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
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
Learning through advice-seeking via transfer
P Odom, R Kumaraswamy, K Kersting, S Natarajan
Inductive Logic Programming: 26th International Conference, ILP 2016, London …, 2017
Learning probabilistic logic models with human advice
P Odom, T Khot, S Natarajan
2015 AAAI Spring Symposium Series, 2015
Probabilistic Logic Learning via Active Advice Seeking
P Odom, S Natarajan
First Workshop on Human is More Than a Labeler (BeyondLabeler), 2016
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