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Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing.

, , и . AAAI, стр. 2460-2467. AAAI Press, (2018)

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Multi-modal Predicate Identification using Dynamically Learned Robot Controllers., , , , , и . IJCAI, стр. 4638-4645. ijcai.org, (2018)Learning to Interpret Natural Language Commands through Human-Robot Dialog., , , и . IJCAI, стр. 1923-1929. AAAI Press, (2015)Shifting the Baseline: Single Modality Performance on Visual Navigation & QA., , и . CoRR, (2018)Shifting the Baseline: Single Modality Performance on Visual Navigation & QA., , и . NAACL-HLT (1), стр. 1977-1983. Association for Computational Linguistics, (2019)The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation., , и . CoRL, том 155 из Proceedings of Machine Learning Research, стр. 1384-1393. PMLR, (2020)I2I: Initializing Adapters with Improvised Knowledge., , , и . CoLLAs, том 232 из Proceedings of Machine Learning Research, стр. 923-935. PMLR, (2023)Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild., , , , и . COLING, стр. 1218-1227. ACL, (2014)ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks., , , , , , , и . CVPR, стр. 10737-10746. Computer Vision Foundation / IEEE, (2020)RMM: A Recursive Mental Model for Dialog Navigation., , , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 1732-1745. Association for Computational Linguistics, (2020)Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning., , , , , , и . ACL (Findings), стр. 12935-12948. Association for Computational Linguistics, (2024)