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RankMI: A Mutual Information Maximizing Ranking Loss.

, , , and . CVPR, page 14350-14359. Computer Vision Foundation / IEEE, (2020)

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A Probabilistic Computational Model of Cross-Situational Word Learning., , and . Cogn. Sci., 34 (6): 1017-1063 (2010)VASTA: A Vision and Language-assisted Smartphone Task Automation System., , , , , , and . CoRR, (2019)Identifying Multimodal Context Awareness Requirements for Supporting User Interaction with Procedural Videos., , , , and . CHI, page 761:1-761:17. ACM, (2023)How coherent are neural models of coherence?, , , and . COLING, page 6126-6138. International Committee on Computational Linguistics, (2020)Accurate Polyglot Semantic Parsing With DAG Grammars., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3567-3580. Association for Computational Linguistics, (2020)Learning the abstract motion semantics of verbs from captioned videos., , , and . CVPR Workshops, page 1-8. IEEE Computer Society, (2008)Structural Differences in the Semantic Networks of Simulated Word Learners., , and . CogSci, cognitivesciencesociety.org, (2014)Child Acquisition of Multiword Verbs: A Computational Investigation., , and . Cognitive Aspects of Computational Language Acquisition, Springer, (2013)Unsupervised Type and Token Identification of Idiomatic Expressions., , and . Computational Linguistics, 35 (1): 61-103 (2009)RankMI: A Mutual Information Maximizing Ranking Loss., , , and . CVPR, page 14350-14359. Computer Vision Foundation / IEEE, (2020)