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Yilun Zhou
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Year
Do Feature Attribution Methods Correctly Attribute Features?
Y Zhou, S Booth, MT Ribeiro, J Shah
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9623-9633, 2022
1102022
Asymptotically Optimal Planning by Feasible Kinodynamic Planning in a State–Cost Space
K Hauser, Y Zhou
IEEE Transactions on Robotics 32 (6), 1431-1443, 2016
972016
6DOF Grasp Planning by Optimizing a Deep Learning Scoring Function
Y Zhou, K Hauser
Robotics: Science and Systems (RSS) Workshop on Revisiting Contact - Turning …, 2017
402017
Learning Household Task Knowledge from WikiHow Descriptions
Y Zhou, J Shah, S Schockaert
Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5), 50-56, 2019
262019
ExSum: From Local Explanations to Model Understanding
Y Zhou, MT Ribeiro, J Shah
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
252022
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
S Booth*, Y Zhou*, A Shah, J Shah
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11423 …, 2021
25*2021
Latent Space Alignment Using Adversarially Guided Self-Play
M Tucker, Y Zhou, JA Shah
International Journal of Human–Computer Interaction 38 (18-20), 1753-1771, 2022
21*2022
Incorporating Side-Channel Information into Convolutional Neural Networks for Robotic Tasks
Y Zhou, K Hauser
IEEE International Conference on Robotics and Automation (ICRA), 2177-2183, 2017
202017
The Irrationality of Neural Rationale Models
Y Zheng, S Booth, J Shah, Y Zhou
2nd Workshop on Trustworthy Natural Language Processing (TrustNLP), 2022
162022
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
Y Zhou, A Renduchintala, X Li, S Wang, Y Mehdad, A Ghoshal
International Conference on Artificial Intelligence and Statistics, 1486-1494, 2021
132021
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness
Y Zhou, S Schockaert, J Shah
The World Wide Web Conference, 2460-2471, 2019
122019
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations
S Huang, S Mamidanna, S Jangam, Y Zhou, LH Gilpin
arXiv preprint arXiv:2310.11207, 2023
112023
RoCUS: Robot Controller Understanding via Sampling
Y Zhou, S Booth, N Figueroa, J Shah
Conference on Robot Learning (CoRL), 2021
102021
Dynamic Prioritization of Traffic in Home Networks
IN Bozkurt, Y Zhou, T Benson
CoNEXT Student Workshop, 2015
92015
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment
G Ghalme*, V Nair*, V Patil*, Y Zhou*
International Conference on Autonomous Agents and Multiagent Systems, 525-533, 2022
7*2022
The Solvability of Interpretability Evaluation Metrics
Y Zhou, J Shah
Findings of the Association for Computational Linguistics: EACL 2023, 2023
62023
Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques
D Rai, B Wang, Y Zhou, Z Yao
arXiv preprint arXiv:2305.17378, 2023
42023
Representing, Learning, and Controlling Complex Object Interactions
Y Zhou, B Burchfiel, G Konidaris
Autonomous robots 42 (7), 1355-1367, 2018
3*2018
Explaining large language model-based neural semantic parsers (student abstract)
D Rai, Y Zhou, B Wang, Z Yao
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16308 …, 2023
12023
On Memory Mechanism in Multi-Agent Reinforcement Learning
Y Zhou, DE Asher, NR Waytowich, JA Shah
arXiv preprint arXiv:1909.05232, 2019
12019
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