Phillip Odom

According to our database, Phillip Odom authored at least 23 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning with privileged and sensitive information: a gradient-boosting approach.

Siwen Yan, Phillip Odom, Rahul Pasunuri, Kristian Kersting, Sriraam Natarajan

Frontiers Artif. Intell., February, 2023

Knowledge-based Refinement of Scientific Publication Knowledge Graphs.

Siwen Yan, Phillip Odom, Sriraam Natarajan

CoRR, 2023

Active Feature Acquisition via Human Interaction in Relational domains.

Nandini Ramanan, Phillip Odom, Kristian Kersting, Sriraam Natarajan

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

Relational Active Feature Elicitation for DDDAS.

Nandini Ramanan, Phillip Odom, Erik Blasch, Kristian Kersting, Sriraam Natarajan

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

2020

Interactive Transfer Learning in Relational Domains.

Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom, Sriraam Natarajan

Künstliche Intell., 2020

A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains.

Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Planning with actively eliciting preferences.

Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan

Knowl. Based Syst., 2019

HuManIC: human machine interpretive control.

Phillip Odom, Raymond Hebard, Stephen Lee-Urban

Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

Multi-class classification without multi-class labels.

Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Human-Guided Learning for Probabilistic Logic Models.

Phillip Odom, Sriraam Natarajan

Frontiers Robotics AI, 2018

A probabilistic constrained clustering for transfer learning and image category discovery.

Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira

CoRR, 2018

Preference-Guided Planning: An Active Elicitation Approach.

Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams.

Alexander L. Hayes, Mayukh Das, Phillip Odom, Sriraam Natarajan

Proceedings of the Knowledge Capture Conference, 2017

2016

Actively Interacting with Experts: A Probabilistic Logic Approach.

Phillip Odom, Sriraam Natarajan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Learning Through Advice-Seeking via Transfer.

Phillip Odom, Raksha Kumaraswamy, Kristian Kersting, Sriraam Natarajan

Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

2015

Transfer Learning via Relational Type Matching.

Raksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Extracting Adverse Drug Events from Text Using Human Advice.

Phillip Odom, Vishal Bangera, Tushar Khot, David Page, Sriraam Natarajan

Proceedings of the Artificial Intelligence in Medicine, 2015

Learning Probabilistic Logic Models with Human Advice.

Phillip Odom, Tushar Khot, Sriraam Natarajan

Proceedings of the 2015 AAAI Spring Symposia, 2015

Active Advice Seeking for Inverse Reinforcement Learning.

Phillip Odom, Sriraam Natarajan

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Knowledge-Based Probabilistic Logic Learning.

Phillip Odom, Tushar Khot, Reid B. Porter, Sriraam Natarajan

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Accelerating Imitation Learning in Relational Domains via Transfer by Initialization.

Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli

Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013

Guiding Autonomous Agents to Better Behaviors through Human Advice.

Gautam Kunapuli, Phillip Odom, Jude W. Shavlik, Sriraam Natarajan

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Accelarating Imitation Learning in Relational Domains via Transfer by Initialization.

Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012