Publications (21)
Measuring Compositionality in Representation Learning
Jacob Andreas
A Minimal Span-Based Neural Constituency Parser
Mitchell Stern, Jacob Andreas, Dan Klein
Translating Neuralese
Jacob Andreas, Anca Dragan, Dan Klein
Alignment-based compositional semantics for instruction following
Jacob Andreas, Dan Klein
Learning to Reason: End-to-End Module Networks for Visual Question Answering
Ronghang Hu, Jacob Andreas, Marcus Rohrbach +2
Unified Pragmatic Models for Generating and Following Instructions
Daniel Fried, Jacob Andreas, Dan Klein
Reasoning About Pragmatics with Neural Listeners and Speakers
Jacob Andreas, Dan Klein
Learning with Latent Language
Jacob Andreas, Dan Klein, Sergey Levine
Analogs of Linguistic Structure in Deep Representations
Jacob Andreas, Dan Klein
Speaker-Follower Models for Vision-and-Language Navigation
Daniel Fried, Ronghang Hu, Volkan Cirik +7
Learning to Compose Neural Networks for Question Answering
Jacob Andreas, Marcus Rohrbach, Trevor Darrell +1
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
Maithra Raghu, Alex Irpan, Jacob Andreas +3
Guiding Policies with Language via Meta-Learning
John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev +5
On the accuracy of self-normalized log-linear models
Jacob Andreas, Maxim Rabinovich, Dan Klein +1
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina, Nantas Nardelli, Gregory Farquhar +5
Modular Multitask Reinforcement Learning with Policy Sketches
Jacob Andreas, Dan Klein, Sergey Levine
Explainable Neural Computation via Stack Neural Module Networks
Ronghang Hu, Jacob Andreas, Trevor Darrell +1
The Complexity of Learning Principles and Parameters Grammars
Jacob Andreas
Modeling Relationships in Referential Expressions with Compositional Modular Networks
Ronghang Hu, Marcus Rohrbach, Jacob Andreas +2
Pragmatically Informative Text Generation
Sheng Shen, Daniel Fried, Jacob Andreas +1
Neural Module Networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell +1