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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 26 1 Trajectory Prediction with Linguistic Representations Kuo, Yen-Ling; Huang, Xin; Barbu, Andrei. - : Center for Brains, Minds and Machines (CBMM), International Conference on Robotics and Automation (ICRA), 2022 BASE Show details 2 Compositional Networks Enable Systematic Generalization for Grounded Language Understanding Kuo, Yen-Ling; Katz, Boris; Barbu, Andrei. - : Center for Brains, Minds and Machines (CBMM), Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 BASE Show details 3 Trajectory Prediction with Linguistic Representations ... Kuo, Yen-Ling; Huang, Xin; Barbu, Andrei. - : arXiv, 2021 BASE Show details 4 Measuring Social Biases in Grounded Vision and Language Embeddings ... NAACL 2021 2021; Barbu, Andrei; Katz, Boris. - : Underline Science Inc., 2021 BASE Show details 5 Compositional Networks Enable Systematic Generalization for Grounded Language Understanding ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Barbu, Andrei; Katz, Boris. - : Underline Science Inc., 2021 BASE Show details 6 Measuring Social Biases in Grounded Vision and Language Embeddings Ross, Candace; Barbu, Andrei; Katz, Boris. - : Center for Brains, Minds and Machines (CBMM), Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL), 2021 BASE Show details 7 Learning a natural-language to LTL executable semantic parser for grounded robotics Wang, Christopher; Ross, Candace; Kuo, Yen-Ling. - : Center for Brains, Minds and Machines (CBMM), Conference on Robot Learning (CoRL), 2020 BASE Show details 8 Compositional Networks Enable Systematic Generalization for Grounded Language Understanding ... Kuo, Yen-Ling; Katz, Boris; Barbu, Andrei. - : arXiv, 2020 Abstract: Humans are remarkably flexible when understanding new sentences that include combinations of concepts they have never encountered before. Recent work has shown that while deep networks can mimic some human language abilities when presented with novel sentences, systematic variation uncovers the limitations in the language-understanding abilities of networks. We demonstrate that these limitations can be overcome by addressing the generalization challenges in the gSCAN dataset, which explicitly measures how well an agent is able to interpret novel linguistic commands grounded in vision, e.g., novel pairings of adjectives and nouns. The key principle we employ is compositionality: that the compositional structure of networks should reflect the compositional structure of the problem domain they address, while allowing other parameters to be learned end-to-end. We build a general-purpose mechanism that enables agents to generalize their language understanding to compositional domains. Crucially, our network has ... : Accepted in Findings of EMNLP 2021 ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Robotics cs.RO URL: https://arxiv.org/abs/2008.02742 https://dx.doi.org/10.48550/arxiv.2008.02742 BASE Hide details 9 Learning a natural-language to LTL executable semantic parser for grounded robotics ... Wang, Christopher; Ross, Candace; Kuo, Yen-Ling. - : arXiv, 2020 BASE Show details 10 Measuring Social Biases in Grounded Vision and Language Embeddings ... Ross, Candace; Katz, Boris; Barbu, Andrei. - : arXiv, 2020 BASE Show details 11 Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas Kuo, Yen-Ling; Katz, Boris; Barbu, Andrei. - : Center for Brains, Minds and Machines (CBMM), The Ninth International Conference on Learning Representations (ICLR), 2020 BASE Show details 12 Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context ... Paul, Rohan; Barbu, Andrei; Felshin, Sue. - : arXiv, 2018 BASE Show details 13 Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context Paul, Rohan; Barbu, Andrei; Felshin, Sue... In: Other repository (2018) BASE Show details 14 Do You See What I Mean? Visual Resolution of Linguistic Ambiguities Berzak, Yevgeni; Barbu, Andrei; Harari, Daniel. - : Center for Brains, Minds and Machines (CBMM), arXiv, 2016 BASE Show details 15 Anchoring and Agreement in Syntactic Annotations Berzak, Yevgeni; Huang, Yan; Barbu, Andrei. - : Center for Brains, Minds and Machines (CBMM), arXiv, 2016 BASE Show details 16 Do You See What I Mean? Visual Resolution of Linguistic Ambiguities ... Berzak, Yevgeni; Barbu, Andrei; Harari, Daniel. - : arXiv, 2016 BASE Show details 17 Seeing What You’re Told: Sentence-Guided Activity Recognition In Video Siddharth, Narayanaswamy; Barbu, Andrei; Siskind, Jeffrey Mark. - : Center for Brains, Minds and Machines (CBMM), arXiv, 2014 BASE Show details 18 The Compositional Nature of Event Representations in the Human Brain Barbu, Andrei; Narayanaswamy, Siddharth; Xiong, Caiming. - : Center for Brains, Minds and Machines (CBMM), arXiv, 2014 BASE Show details 19 Video In Sentences Out ... Barbu, Andrei; Bridge, Alexander; Burchill, Zachary. - : arXiv, 2014 BASE Show details 20 Saying What You're Looking For: Linguistics Meets Video Search ... Barbu, Andrei; Siddharth, N.; Siskind, Jeffrey Mark. - : arXiv, 2013 BASE Show details Page: 1 2

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