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DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Expert problem-solving is driven by powerful languages for thinking abou...
06/15/2020 ∙ by Kevin Ellis, et al. ∙
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Amanuensis: The Programmer's Apprentice
This document provides an overview of the material covered in a course t...
06/29/2018 ∙ by Thomas Dean, et al. ∙
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Transfer Automatic Machine Learning
Building effective neural networks requires many design choices. These i...
03/07/2018 ∙ by Catherine Wong, et al. ∙
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DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation
Machine learning models are powerful but fallible. Generating adversaria...
12/14/2017 ∙ by Catherine Wong, et al. ∙
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Transfer Learning to Learn with Multitask Neural Model Search
Deep learning models require extensive architecture design exploration a...
10/30/2017 ∙ by Catherine Wong, et al. ∙
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