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05/11/2022
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
Human language offers a powerful window into our thoughts – we tell stor...
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05/11/2022
Identifying concept libraries from language about object structure
Our understanding of the visual world goes beyond naming objects, encomp...
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06/18/2021
Leveraging Language to Learn Program Abstractions and Search Heuristics
Inductive program synthesis, or inferring programs from examples of desi...
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06/15/2021
Communicating Natural Programs to Humans and Machines
The Abstraction and Reasoning Corpus (ARC) is a set of tasks that tests ...
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06/15/2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Expert problem-solving is driven by powerful languages for thinking abou...
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06/29/2018
Amanuensis: The Programmer's Apprentice
This document provides an overview of the material covered in a course t...
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03/07/2018
Transfer Automatic Machine Learning
Building effective neural networks requires many design choices. These i...
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12/14/2017
DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation
Machine learning models are powerful but fallible. Generating adversaria...
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10/30/2017