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Mind your outliers! investigating the negative impact of outliers on active learning for visual question answering

, , , and . arXiv preprint arXiv:2107.02331, (2021)

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Selective Visual Representations Improve Convergence and Generalization for Embodied AI., , , , , and . CoRR, (2023)Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning., , , and . W-NUT@EMNLP, page 22-27. Association for Computational Linguistics, (2020)EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions Technical Report., , , , , and . CoRR, (2023)VOCAL: Video Organization and Interactive Compositional AnaLytics., , , , , , , and . CIDR, www.cidrdb.org, (2022)Information Maximizing Visual Question Generation., , and . CVPR, page 2008-2018. Computer Vision Foundation / IEEE, (2019)Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs., , , and . CVPR, page 10233-10244. Computer Vision Foundation / IEEE, (2020)Referring Relationships., , , and . CVPR, page 6867-6876. Computer Vision Foundation / IEEE Computer Society, (2018)Multilingual Diversity Improves Vision-Language Representations., , , , , , , and . CoRR, (2024)Crowd Research: Open and Scalable University Laboratories., , , , , , , , , and 2 other author(s). UIST, page 829-843. ACM, (2017)Offline Training of Language Model Agents with Functions as Learnable Weights., , , , , , and . ICML, OpenReview.net, (2024)