Shah, Julie

21 publications

AAAI 2025 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA Toby Walsh, Julie Shah, Zico Kolter

CoRL 2024 Adaptive Language-Guided Abstraction from Contrastive Explanations Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu

ICLR 2024 Grounding Language Plans in Demonstrations Through Counterfactual Perturbations Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah

ICLR 2024 Learning with Language-Guided State Abstractions Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah

ICLRW 2024 Preference-Conditioned Language-Guided Abstraction Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie Shah

ICML 2023 Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation Andi Peng, Aviv Netanyahu, Mark K Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal

NeurIPSW 2023 In Pursuit of Regulatable LLMs Eoin Kenny, Julie Shah

AAAI 2023 The Perils of Trial-and-Error Reward Design: Misdesign Through Overfitting and Invalid Task Specifications Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi

IJCAI 2023 Towards Collaborative Plan Acquisition Through Theory of Mind Modeling in Situated Dialogue Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai

ICLR 2023 Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes Eoin M. Kenny, Mycal Tucker, Julie Shah

NeurIPSW 2022 Aligning Robot Representations with Humans Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca Dragan

AAAI 2022 Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah

NeurIPSW 2022 Generalization and Translatability in Emergent Communication via Informational Constraints Mycal Tucker, Roger P. Levy, Julie Shah, Noga Zaslavsky

CoRL 2022 Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah

AAAI 2021 Bayes-TrEx: A Bayesian Sampling Approach to Model Transparency by Example Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah

NeurIPSW 2021 Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou, Serena Booth, Marco Tulio Ribeiro, Julie Shah

CoRL 2021 RoCUS: Robot Controller Understanding via Sampling Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah

JAIR 2020 Blind Spot Detection for Safe Sim-to-Real Transfer Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah

IJCAI 2019 Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah

IJCAI 2019 Evaluating the Interpretability of the Knowledge Compilation mAP: Communicating Logical Statements Effectively Serena Booth, Christian Muise, Julie Shah

AAAI 2019 Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz