Phillip Odom
Phillip Odom
Geverifieerd e-mailadres voor indiana.edu
Titel
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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
372013
Multi-class classification without multi-class labels
YC Hsu, Z Lv, J Schlosser, P Odom, Z Kira
arXiv preprint arXiv:1901.00544, 2019
312019
Active advice seeking for inverse reinforcement learning
P Odom, S Natarajan
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
312015
Knowledge-based probabilistic logic learning
P Odom, T Khot, R Porter, S Natarajan
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
262015
Extracting adverse drug events from text using human advice
P Odom, V Bangera, T Khot, D Page, S Natarajan
Conference on Artificial Intelligence in Medicine in Europe, 195-204, 2015
202015
Human-guided learning for probabilistic logic models
P Odom, S Natarajan
Frontiers in Robotics and AI 5, 56, 2018
172018
Actively interacting with experts: A probabilistic logic approach
P Odom, S Natarajan
Joint European conference on machine learning and knowledge discovery in …, 2016
162016
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
152015
Accelerating imitation learning in relational domains via transfer by initialization
S Natarajan, P Odom, S Joshi, T Khot, K Kersting, P Tadepalli
International Conference on Inductive Logic Programming, 64-75, 2013
82013
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
72018
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
72017
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
52020
Planning with actively eliciting preferences
M Das, P Odom, MR Islam, JRJ Doppa, D Roth, S Natarajan
Knowledge-Based Systems 165, 219-227, 2019
52019
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
32018
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
32016
Learning probabilistic logic models with human advice
P Odom, T Khot, S Natarajan
2015 AAAI Spring Symposium Series, 2015
32015
Learning through advice-seeking via transfer
P Odom, R Kumaraswamy, K Kersting, S Natarajan
International Conference on Inductive Logic Programming, 40-51, 2016
22016
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
22015
Interactive Transfer Learning in Relational Domains
R Kumaraswamy, N Ramanan, P Odom, S Natarajan
KI-Künstliche Intelligenz 34, 181-192, 2020
12020
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
12018
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