John Hurwitz
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View article: Neural Normalized Compression Distance and the Disconnect Between Compression and Classification
Neural Normalized Compression Distance and the Disconnect Between Compression and Classification Open
It is generally well understood that predictive classification and compression are intrinsically related concepts in information theory. Indeed, many deep learning methods are explained as learning a kind of compression, and that better co…
View article: Lempel-Ziv Networks
Lempel-Ziv Networks Open
Sequence processing has long been a central area of machine learning research. Recurrent neural nets have been successful in processing sequences for a number of tasks; however, they are known to be both ineffective and computationally exp…