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The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision.

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Acquisition of Localization Confidence for Accurate Object Detection., , , , and . ECCV (14), volume 11218 of Lecture Notes in Computer Science, page 816-832. Springer, (2018)Neural Logic Machines., , , , , and . ICLR (Poster), OpenReview.net, (2019)HandMeThat: Human-Robot Communication in Physical and Social Environments., , and . CoRR, (2023)Translating a Visual LEGO Manual to a Machine-Executable Plan., , , , and . ECCV (37), volume 13697 of Lecture Notes in Computer Science, page 677-694. Springer, (2022)Temporal and Object Quantification Networks., , , , , , and . IJCAI, page 2804-2811. ijcai.org, (2021)Visually Grounded Neural Syntax Acquisition., , , and . ACL (1), page 1842-1861. Association for Computational Linguistics, (2019)Language-Mediated, Object-Centric Representation Learning., , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 2033-2046. Association for Computational Linguistics, (2021)Jointly learning motion verbs and frame semantics from natural language and grounded scenes., , , , and . CogSci, cognitivesciencesociety.org, (2020)The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision., , , , and . CoRR, (2019)Learning adaptive planning representations with natural language guidance., , , , , , , and . CoRR, (2023)