Biblio

Found 34 results
Author [ Title(Desc)] Type Year
Filters: Author is Julie Shah  [Clear All Filters]
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A
Gombolay, M., R. Jensen, J. Stigile, S-H. Son, and J. Shah, "Apprenticeship Scheduling: Learning to Schedule from Human Experts", International Joint Conferences on Artificial Intelligence (IJCAI), 07/2016.
B
Kim, B., C. Rudin, and J. Shah, "The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification", Neural Information Processing Systems (NIPS), 12/2014.
Kim, J., C. Muise, A. Shah, S. Agarwal, and J. Shah, "Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations", International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, 08/2019.
Shah, A., P. Kamath, S. Li, and J. Shah, "Bayesian Inference of Temporal Task Specifications from Demonstrations", Conference on Neural Information Processing Systems, Montreal, Canada, 2018.
Booth*, S., Y. Zhou*, A. Shah, and J. Shah, "Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example", AAAI Conference on Artificial Intelligence, 2021.
D
Ramakrishnan, R., E. Kamar, D. Dey, J. Shah, and E. Horvitz, "Discovering Blind Spots in Reinforcement Learning", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 07/2018.
Zhou, Y., S. Booth, M. Tulio Ribeiro, and J. Shah, "Do Feature Attribution Methods Correctly Attribute Features?", Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI, 02/2022.
E
Booth, S., C. Muise, and J. Shah, "Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively", International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, 08/2019.
H
Booth, S., S. Sharma, S. Chung, J. Shah, and E. L. Glassman, "How to Understand Your Robot: A Design Space Informed by Human Concept Learning", International Conference on Robotics and Automation (ICRA), Workshop on Social Intelligence in Humans and Robots (SIHR), 05/2021.
Gombolay, M., R. Jensen, J. Stigile, T. Golen, N. Shah, S-H. Son, and J. Shah, "Human-Machine Collaborative Optimization via Apprenticeship Scheduling", Journal of Artificial Intelligence Research (JAIR) (Accepted 02/2018—To Appear), 2018.
Nikolaidis, S., P. A. Lasota, Gregory Rossano, Carlos Martinez, Thomas Fuhlbrigge, and J. Shah, "Human-Robot Collaboration in Manufacturing: Quantitative Evaluation of Predictable, Convergent Joint Action", International Symposium on Robotics (ISR) [Best Paper Nomination], 10/2013.
I
Butchibabu, A., C. Sparano-Huiban, L. Sonenberg, and J. Shah, "Implicit Coordination Strategies for Effective Team Communication", Human Factors: The Journal of the Human Factors and Ergonomics Society (HFES), vol. 58, issue 4, 06/2016.
Nikolaidis, S., P. Lasota, R. Ramakrishnan, and J. Shah, "Improved human–robot team performance through cross-training, an approach inspired by human team training practices", International Journal of Robotics Research (IJRR), vol. 34, issue 14, pp. 1711-1730, 12/2015.
Kotowick, K., and J. Shah, "Intelligent Sensory Modality Selection for Electronic Supportive Devices", ACM Conference on Intelligent User Interfaces (IUI), 03/2017.
Zheng, Y., S. Booth, J. Shah, and Y. Zhou, "The Irrationality of Neural Rationale Models", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2nd Workshop on Trustworthy Natural Langauge Processing (TrustNLP), 07/2022.
L
Zhou, Y., J. Shah, and S. Schockaert, "Learning Household Task Knowledge from WikiHow Descriptions", International Joint Conference on Artificial Intelligence (IJCAI), Workshop on Semantic Deep Learning, 08/2019.
M
Kim, B., J. Shah, and F. Doshi-Velez, "Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction", Neural Information Processing Systems (NIPS), 12/2015.
Muise, C., S. Wollenstein-Betech, S. Booth, J. Shah, and Y. Khazaen, "Modeling Blackbox Agent Behaviour via Knowledge Compilation", AAAI Conference on Artificial Intelligence, Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020.
P
Booth, S., B. W. Knox, J. Shah, S. Niekum, P. Stone, and A. Allievi, "The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications", Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, D.C. , 02/2023.
Ramakrishnan, R., C. Zhang, and J. Shah, "Perturbation Training for Human-Robot Teams", Journal of Artificial Intelligence Research (JAIR), vol. 59, 07/2017.
Shah, A. J., L. Blumberg, and J. Shah, "Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly", IEEE Transactions on Automation Science and Engineering (T-ASE), pp. 1-16, 03/2018.
R
Li*, S., D. Park*, Y. Sung*, J. Shah, and N. Roy, "Reactive Task and Motion Planning under Temporal Logic Specifications", IEEE International Conference on Robotics and Automation (ICRA), 06/2021.

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