Biblio

Found 135 results
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Z
Zhou, Y., and J. Shah, "The Solvability of Interpretability Evaluation Metrics", Findings of the Association for Computational Linguistics: EACL: Association for Computational Linguistics, 05/2023.
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.
Zhou, Y., M. Tulio Ribeiro, and J. Shah, "ExSum: From Local Explanations to Model Understanding", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Association for Computational Linguistics, 07/2022.
Zhou, Y., S. Schockaert, and J. A. Shah, "Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness", The Web Conference (WWW), San Francisco, CA, ACM, 05/2019.
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.
Zhou, Y., S. Booth, N. Figueroa, and J. Shah, "RoCUS: Robot Controller Understanding via Sampling", Conference on Robot Learning (CoRL), London, UK, Proceedings of Machine Learning Research, 11/2021.
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.
Zhang, C., and J. A. Shah, "Fairness in Multi-Agent Sequential Decision-Making", Neural Information Processing Systems (NIPS), 12/2014.
Zhang, C., and J. A. Shah, "On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison", AAAI Conference on Artificial Intelligence (AAAI), 01/2015.
Zhang, C., and J. A. Shah, "Co-Optimization Multi-Agent Placement with Task Assignment and Scheduling", International Joint Conferences on Artificial Intelligence (IJCAI), 07/2016.
Zhang, C., and J. A. Shah, "Co-Optimizing Task and Motion Planning", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 10/2016.
Y
Yang, X. Jessie, V. V. Unhelkar, K. Li, and J. A. Shah, "Evaluating Effects of User Experience and System Transparency on Trust in Automation", ACM/IEEE International Conference on Human Robot Interaction (HRI), 03/2017.
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Winfield, A. F. T., S. Booth, L. A. Dennis, T. Egawa, H. Hastie, N. Jacobs, R. I. Muttram, J. I. Olszewska, F. Rajabiyazdi, A. Theodorou, et al., "IEEE P7001: a proposed standard on transparency", Frontiers in Robotics and AI, pp. 225, 2021.
Wilcox, R., S. Nikolaidis, and J. A. Shah, "Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing", Robotics: Science and Systems (RSS) [33% acceptance rate], 07/2012.
Wilcox, R., and J. A. Shah, "Optimization of Multi-Agent Workflow for Human-Robot Collaboration in Assembly Manufacturing", AIAA Infotech@Aerospace (I@A), 06/2012.
Wilcox, R. James, "Flexible Schedule Optimization for Human-Robot Collaboration", Mechanical Engineering, vol. S.M., Cambridge, MA, Massachusetts Institute of Technology, pp. 101, 2013.
Wang, Y., C-Y. Ko, and P. Agrawal, "Visual Pre-training for Navigation: What Can We Learn from Noise?", Thirty-sixth Annual Conference on Neural Information Processing Systems, New Orleans, LA, Synthetic Data for Empowering ML Research Workshop & Self-Supervised Learning Workshop, 2022.
Wang, Y., N. Figueroa, S. Li, A. Shah, and J. Shah, "Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations", 6th Annual Conference on Robot Learning, Auckland, New Zealand, 12/2022.
U
Unhelkar*, V. V., P. A. Lasota*, Q. Tyroller, R-D. Buhai, L. Marceau, B. Deml, and J. A. Shah, "Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time", IEEE Robotics and Automation Letters (RA-L), vol. 3, issue 3, pp. 8, 07/2018.
Unhelkar*, V. V., S. Li*, and J. A. Shah, "Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration", Conference on Robot Learning (CoRL), 10/2019.
Unhelkar*, V. V., S. Li*, and J. A. Shah, "Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks", Human-Robot Interaction (HRI), 03/2020.
Unhelkar, V. V., R-D. Buhai, and J. A. Shah, "Incremental Path Planning in Time to Leverage Evolving Predictions", International Joint Conferences on Artificial Intelligence (IJCAI), Workshop on Autonomous Mobile Service Robots, New York, NY, 07/2016.
Unhelkar, V. V., S. Dörr, A. Bubeck, P. A. Lasota, J. Perez, H. Chit Siu, J B. C. Jr., Q. Tyroller, J. Bix, S. Bartscher, et al., "Mobile Robots for Moving-Floor Assembly Lines: Design, Evaluation, and Deployment", IEEE Robotics and Automation Magazine (RAM), vol. 25, issue 2, 05/2018.
Unhelkar, V. V., and J. A. Shah, "ConTaCT : Deciding to Communicate During Time-Critical Collaborative Tasks in Unknown, Deterministic Domains", AAAI Conference on Artificial Intelligence (AAAI) [26% Acceptance Rate], 02/2016.
Unhelkar, V. V., R-D. Buhai, and J. A. Shah, "Planning in Dynamic Environments using Evolving Time-Indexed Graphs", Robotics: Science and Systems (RSS), Workshop on Planning for Human-Robot Interaction, 06/2016.

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