Jacob Andreas

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Ekin AkyürekPhD Student in Computer Science, MITVerified email at mit.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.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, AI at MetaVerified email at meta.com
Pratyusha SharmaPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Belinda Z. LiMITVerified email at mit.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Evan HernandezGraduate Student, MITVerified email at mit.edu
Taylor Berg-KirkpatrickUniversity of California San DiegoVerified email at ucsd.edu
Adam PaulsMicrosoftVerified email at semanticmachines.com
Denny ZhouResearch Scientist, Google DeepMindVerified email at google.com
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
Daniel FriedAssistant professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Tengyu MAStanford UniversityVerified email at stanford.edu
Sarah SchwettmannMITVerified email at mit.edu
David BauAssistant Professor at Northeastern UniversityVerified email at northeastern.edu
Afra Feyza AkyürekPhD Student in Computer Science, Boston UniversityVerified email at bu.edu
Abhishek GuptaUniversity of WashingtonVerified email at cs.washington.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	1409	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	705	2017
Learning to Compose Neural Networks for Question Answering J Andreas, M Rohrbach, T Darrell, D Klein NAACL, 2016	676	2016
Modular multitask reinforcement learning with policy sketches J Andreas, D Klein, S Levine ICML, 2017	563	2017
Speaker-follower models for vision-and-language navigation D Fried, R Hu, V Cirik, A Rohrbach, J Andreas, LP Morency, ... NeurIPS, 2018	515	2018
Modeling relationships in referential expressions with compositional modular networks R Hu, M Rohrbach, J Andreas, T Darrell, K Saenko CVPR, 2017	422	2017
Experience grounds language Y Bisk, A Holtzman, J Thomason, J Andreas, Y Bengio, J Chai, M Lapata, ... EMNLP, 2020	388	2020
What learning algorithm is in-context learning? investigations with linear models E Akyürek, D Schuurmans, J Andreas, T Ma, D Zhou ICLR, 2023	371*	2023
A survey of reinforcement learning informed by natural language J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ... IJCAI, 2019	309	2019
Good-enough compositional data augmentation J Andreas EMNLP, 2020	260	2020
A minimal span-based neural constituency parser M Stern, J Andreas, D Klein ACL, 2017	229	2017
Explainable neural computation via stack neural module networks R Hu, J Andreas, T Darrell, K Saenko ECCV, 2018	226	2018
Pre-trained language models for interactive decision-making YZ Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan ... NeurIPS, 2022	201*	2022
Reasoning about pragmatics with neural listeners and speakers J Andreas, D Klein EMNLP, 2016	185	2016
Compositional explanations of neurons J Mu, J Andreas NeurIPS, 2020	184	2020
Measuring compositionality in representation learning J Andreas ICLR, 2019	164	2019
Semantics-Based Machine Translation with Hyperedge Replacement Grammars B Jones, J Andreas, D Bauer, KM Hermann, K Knight COLING, 2012	160	2012
A benchmark for systematic generalization in grounded language understanding L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake NeurIPS, 2020	159	2020
Language Models as Agent Models J Andreas EMNLP Findings, 2022	155	2022
Guiding Pretraining in Reinforcement Learning with Large Language Models Y Du, O Watkins, Z Wang, C Colas, T Darrell, P Abbeel, A Gupta, ... ICML, 2023	147	2023

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