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12/20/2022
Recycling diverse models for out-of-distribution generalization
Foundation models are redefining how AI systems are built. Practitioners...
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12/14/2022
Learning useful representations for shifting tasks and distributions
Does the dominant approach to learn representations (as a side effect of...
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03/24/2022
Rich Feature Construction for the Optimization-Generalization Dilemma
There often is a dilemma between ease of optimization and robust out-of-...
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09/29/2019
Symplectic Recurrent Neural Networks
We propose Symplectic Recurrent Neural Networks (SRNNs) as learning algo...
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02/06/2017