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FairyTailor: A Multimodal Generative Framework for Storytelling

Jul 13, 2021
Eden Bensaid, Mauro Martino, Benjamin Hoover, Jacob Andreas, Hendrik Strobelt

* visit and for web demo and source code 

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Leveraging Language to Learn Program Abstractions and Search Heuristics

Jun 18, 2021
Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas

* appeared in Thirty-eighth International Conference on Machine Learning (ICML 2021) 

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What Context Features Can Transformer Language Models Use?

Jun 15, 2021
Joe O'Connor, Jacob Andreas

* 14 pages, 7 figures, to be published at ACL 2021 

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Lexicon Learning for Few-Shot Neural Sequence Modeling

Jun 07, 2021
Ekin Aky├╝rek, Jacob Andreas

* ACL 2021 

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Implicit Representations of Meaning in Neural Language Models

Jun 01, 2021
Belinda Z. Li, Maxwell Nye, Jacob Andreas

* 15 pages, 6 figures; accepted to ACL 2021 

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The Low-Dimensional Linear Geometry of Contextualized Word Representations

May 15, 2021
Evan Hernandez, Jacob Andreas

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Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales

Apr 17, 2021
Jacob Andreas, Ga┼íper Begu┼í, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri, Daniela Rus, Pratyusha Sharma, Dan Tchernov, Pernille T├Şnnesen, Antonio Torralba, Daniel Vogt, Robert J. Wood

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Multitasking Inhibits Semantic Drift

Apr 15, 2021
Athul Paul Jacob, Mike Lewis, Jacob Andreas

* NAACL 2021 

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Representing Partial Programs with Blended Abstract Semantics

Dec 23, 2020
Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama

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Learning to Recombine and Resample Data for Compositional Generalization

Oct 08, 2020
Ekin Aky├╝rek, Afra Feyza Aky├╝rek, Jacob Andreas

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Task-Oriented Dialogue as Dataflow Synthesis

Oct 02, 2020
Semantic Machines, Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov

* TACL 2020 

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Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment

Aug 22, 2020
Geeticka Chauhan, Ruizhi Liao, William Wells, Jacob Andreas, Xin Wang, Seth Berkowitz, Steven Horng, Peter Szolovits, Polina Golland

* The two first authors contributed equally. To be published in the proceedings of MICCAI 2020 

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Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction

Jul 23, 2020
Eric Chu, Deb Roy, Jacob Andreas

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Compositional Explanations of Neurons

Jun 24, 2020
Jesse Mu, Jacob Andreas

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Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data

Apr 28, 2020
Alana Marzoev, Samuel Madden, M. Frans Kaashoek, Michael Cafarella, Jacob Andreas

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Experience Grounds Language

Apr 21, 2020
Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph Turian

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A Benchmark for Systematic Generalization in Grounded Language Understanding

Mar 11, 2020
Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake

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A Survey of Reinforcement Learning Informed by Natural Language

Jun 10, 2019
Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rockt├Ąschel

* Published at IJCAI'19 

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Good-Enough Compositional Data Augmentation

Apr 21, 2019
Jacob Andreas

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Measuring Compositionality in Representation Learning

Apr 06, 2019
Jacob Andreas

* ICLR 2019 

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Pragmatically Informative Text Generation

Apr 04, 2019
Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein

* 8 pages. accepted as a conference paper at NAACL2019 (short paper) 

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Speaker-Follower Models for Vision-and-Language Navigation

Oct 27, 2018
Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell

* NIPS 2018 

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Explainable Neural Computation via Stack Neural Module Networks

Sep 25, 2018
Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko

* To appear in ECCV 2018 

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Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?

Jun 29, 2018
Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon Kleinberg

* Accepted to ICML 2018, code opensourced at: 

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Unified Pragmatic Models for Generating and Following Instructions

May 28, 2018
Daniel Fried, Jacob Andreas, Dan Klein

* NAACL 2018, camera-ready version 

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Translating Neuralese

Jan 06, 2018
Jacob Andreas, Anca Dragan, Dan Klein

* Fixes description of the model human 

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Learning with Latent Language

Nov 01, 2017
Jacob Andreas, Dan Klein, Sergey Levine

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Learning to Reason: End-to-End Module Networks for Visual Question Answering

Sep 11, 2017
Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko

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