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Incorporating Rich Social Interactions Into MDPs


Oct 22, 2021
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu

* Submitted to the 39th IEEE Conference on Robotics and Automation (ICRA 2022). Do not distribute 

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Trajectory Prediction with Linguistic Representations


Oct 19, 2021
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman


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Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset


Oct 14, 2021
Ian Palmer, Andrew Rouditchenko, Andrei Barbu, Boris Katz, James Glass

* Presented at Interspeech 2021. This version contains additional experiments on the Spoken ObjectNet test set 

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PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception


Mar 19, 2021
Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum

* The first two authors contributed equally; AAAI 2021; 13 pages, 7 figures; Project page: https://www.tshu.io/PHASE 

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Migratable AI: Personalizing Dialog Conversations with migration context


Oct 22, 2020
Ravi Tejwani, Boris Katz, Cynthia Breazeal


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Learning a natural-language to LTL executable semantic parser for grounded robotics


Aug 11, 2020
Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu

* 10 pages, 2 figures, Submitted to Conference on Robot Learning (CoRL) 2020; Fix author list to reflect CoRL submission 

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Compositional Networks Enable Systematic Generalization for Grounded Language Understanding


Aug 06, 2020
Yen-Ling Kuo, Boris Katz, Andrei Barbu


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Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas


Jun 01, 2020
Yen-Ling Kuo, Boris Katz, Andrei Barbu


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Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach


Mar 08, 2020
Yu-Siang Wang, Yen-Ling Kuo, Boris Katz

* 7 pages, 5 figures 

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Measuring Social Biases in Grounded Vision and Language Embeddings


Feb 20, 2020
Candace Ross, Boris Katz, Andrei Barbu


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Deep compositional robotic planners that follow natural language commands


Feb 19, 2020
Yen-Ling Kuo, Boris Katz, Andrei Barbu

* Accepted in ICRA 2020 

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Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context


Nov 16, 2018
Rohan Paul, Andrei Barbu, Sue Felshin, Boris Katz, Nicholas Roy

* Published in ICJAI 2017 

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Deep sequential models for sampling-based planning


Oct 01, 2018
Yen-Ling Kuo, Andrei Barbu, Boris Katz

* Published in IROS 2018 

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Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation


May 24, 2018
Cristina Mata, Guy Ben-Yosef, Boris Katz


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Assessing Language Proficiency from Eye Movements in Reading


Apr 24, 2018
Yevgeni Berzak, Boris Katz, Roger Levy

* NAACL 2018 (license change to CC BY) 

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Predicting Native Language from Gaze


May 02, 2017
Yevgeni Berzak, Chie Nakamura, Suzanne Flynn, Boris Katz

* ACL 2017 

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Anchoring and Agreement in Syntactic Annotations


Sep 21, 2016
Yevgeni Berzak, Yan Huang, Andrei Barbu, Anna Korhonen, Boris Katz

* EMNLP 2016 

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Universal Dependencies for Learner English


Jun 08, 2016
Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, Jing Xian Wang, Lucia Lam, Keiko Sophie Mori, Sebastian Garza, Boris Katz

* Updated parsing experiments to EWT v1.3, improved grammatical error marking, minor revisions. To appear in ACL 2016 

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Do You See What I Mean? Visual Resolution of Linguistic Ambiguities


Mar 26, 2016
Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, Shimon Ullman

* Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015, pages 1477--1487 
* EMNLP 2015 

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Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL


Mar 24, 2016
Yevgeni Berzak, Roi Reichart, Boris Katz

* Proceedings of the 19th Conference on Computational Language Learning, pages 94-102, Beijing, China, July 30-31, 2015 
* Published in CoNLL 2015 

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Reconstructing Native Language Typology from Foreign Language Usage


May 28, 2014
Yevgeni Berzak, Roi Reichart, Boris Katz

* Proceedings of the Eighteenth Conference on Computational Language Learning , pages 21-29, Baltimore, Maryland USA, June 26-27 2014 
* CoNLL 2014 

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