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Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks

Author(s): Brugiapaglia S; Liu M; Tupper P;

Often in language and other areas of cognition, whether two components of an object are identical or not determines if it is well formed. We call such constraints identity effects. When developing a system to learn well-formedness from examples, it is easy ...

Article GUID: 35798322


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