learning rule
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
Much remains to be understood, however, in statistical learning under distribution shifts. This paper focuses on a distribution shift setting where train and test distributions can be related by classes of (data) transformation maps.
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Neural networks grown and self-organized by noise
Guruprasad Raghavan, Matt Thomson
Neural Information Processing Systems http://nips.cc/
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Inferringlearningrulesfromanimaldecision-making
Our method efficiently infers the trial-to-trial changes inananimal'spolicy,and decomposes those changes into a learning component and a noise component.
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