Abstract: One of the long-unsolved open problems in machine learning is imbuing machine learning algorithms with human-like cognitive reasoning capabilities. An essential aspect of cognitive reasoning ...

Abstract: The problem of simultaneously learning several related tasks has received considerable attention in several domains, especially in machine learning, with the so-called multitask learning ...

And how to catch up if you’re lagging behind by Ajay Agrawal, Joshua Gans and Avi Goldfarb The past decade has brought tremendous advances in an exciting dimension of artificial intelligence—machine ...

B.S. in Computer Engineering, University of Illinois at Urbana/Champaign, 1983 M.S. in Computer Science, University of Illinois at Urbana/Champaign, 1985 See my invited talk at the EMNLP 2023 Big ...

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Meta-Learning for Compositionality (MLC) is an optimization procedure that encourages systematicity through a series of few-shot compositional tasks. This code shows how to train and evaluate a ...