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SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions.

, , , , , , and . CVPR, page 10000-10008. Computer Vision Foundation / IEEE, (2020)

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Programs as Black-Box Explanations., , and . CoRR, (2016)Pareto-efficient hybridization for multi-objective recommender systems., , , and . RecSys, page 19-26. ACM, (2012)Multiobjective Pareto-Efficient Approaches for Recommender Systems., , , , , and . ACM TIST, 5 (4): 53:1-53:20 (2014)AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms., , , , , and . CoRR, (2023)Polyjuice: Automated, General-purpose Counterfactual Generation., , , and . CoRR, (2021)Evaluating Systemic Error Detection Methods using Synthetic Images., , , , and . CoRR, (2022)SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions., , , , , , and . CVPR, page 10000-10008. Computer Vision Foundation / IEEE, (2020)Do Feature Attribution Methods Correctly Attribute Features?, , , and . AAAI, page 9623-9633. AAAI Press, (2022)Model-Agnostic Explanations and Evaluation of Machine Learning.. University of Washington, USA, (2018)Sparks of Artificial General Intelligence: Early experiments with GPT-4., , , , , , , , , and 4 other author(s). CoRR, (2023)