Jacob Andreas

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Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Ekin AkyürekPhD Student in Computer Science, MITVerified email at mit.edu
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyVerified email at tu-darmstadt.de
Kate SaenkoBoston UniversityVerified email at bu.edu
Ronghang HuResearch Scientist, Meta AIVerified email at meta.com
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Taylor Berg-KirkpatrickUniversity of California San DiegoVerified email at ucsd.edu
Adam PaulsMicrosoftVerified email at semanticmachines.com
Pratyusha SharmaPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
Belinda Z. LiMITVerified email at mit.edu
Daniel FriedCarnegie Mellon UniversityVerified email at cs.cmu.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Kathleen McKeownProfessor of Computer Science and Director, Data Science Institute, Columbia UniversityVerified email at cs.columbia.edu
Sara RosenthalIBM ResearchVerified email at cs.columbia.edu
Daniel BauerComputer Science, Columbia UniversityVerified email at cs.columbia.edu
Karl Moritz HermannSaigaVerified email at google.com
Kevin KnightDiDi LabsVerified email at didiglobal.com
Aleksandr NisnevichSemantic MachinesVerified email at semanticmachines.com
Evan HernandezGraduate Student, MITVerified email at mit.edu

Jacob Andreas

MIT

Verified email at mit.edu - Homepage

NLP ML


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Neural module networks J Andreas, M Rohrbach, T Darrell, D Klein CVPR, 2016	1272	2016
Learning to Compose Neural Networks for Question Answering J Andreas, M Rohrbach, T Darrell, D Klein NAACL, 2016	641	2016
Learning to reason: End-to-end module networks for visual question answering R Hu, J Andreas, M Rohrbach, T Darrell, K Saenko ICCV, 2017	634	2017
Modular multitask reinforcement learning with policy sketches J Andreas, D Klein, S Levine ICML, 2017	498	2017
Speaker-follower models for vision-and-language navigation D Fried, R Hu, V Cirik, A Rohrbach, J Andreas, LP Morency, ... NeurIPS, 2018	441	2018
Modeling relationships in referential expressions with compositional modular networks R Hu, M Rohrbach, J Andreas, T Darrell, K Saenko CVPR, 2017	383	2017
Experience grounds language Y Bisk, A Holtzman, J Thomason, J Andreas, Y Bengio, J Chai, M Lapata, ... EMNLP, 2020	330	2020
A survey of reinforcement learning informed by natural language J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ... IJCAI, 2019	259	2019
Good-enough compositional data augmentation J Andreas EMNLP, 2020	221	2020
A minimal span-based neural constituency parser M Stern, J Andreas, D Klein ACL, 2017	210	2017
Explainable neural computation via stack neural module networks R Hu, J Andreas, T Darrell, K Saenko ECCV, 2018	192	2018
Reasoning about pragmatics with neural listeners and speakers J Andreas, D Klein EMNLP, 2016	173	2016
Semantics-Based Machine Translation with Hyperedge Replacement Grammars B Jones, J Andreas, D Bauer, KM Hermann, K Knight COLING, 2012	158	2012
What learning algorithm is in-context learning? investigations with linear models E Akyürek, D Schuurmans, J Andreas, T Ma, D Zhou ICLR, 2023	152	2023
Measuring compositionality in representation learning J Andreas ICLR, 2019	141	2019
A benchmark for systematic generalization in grounded language understanding L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake NeurIPS, 2020	132	2020
Learning with latent language J Andreas, D Klein, S Levine NAACL, 2018	124	2018
Compositional explanations of neurons J Mu, J Andreas NeurIPS, 2020	122	2020
Pre-trained language models for interactive decision-making YZ Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan ... NeurIPS, 2022	113*	2022
Unified pragmatic models for generating and following instructions D Fried, J Andreas, D Klein NAACL, 2018	106	2018

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