Neural Tangent Transfer

Introduced by Liu et al. in Finding trainable sparse networks through Neural Tangent Transfer

Neural Tangent Transfer, or NTT, is a method for finding trainable sparse networks in a label-free manner. Specifically, NTT finds sparse networks whose training dynamics, as characterized by the neural tangent kernel, mimic those of dense networks in function space.

Source: Finding trainable sparse networks through Neural Tangent Transfer

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Paper	Code	Results	Date	Stars

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Task	Papers	Share
General Classification	1	100.00%

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Sparsity