Methods › General › Sparsity › Neural Tangent Transfer
Neural Tangent Transfer
Introduced by Tianlin Liu et al. in Finding trainable sparse networks through Neural Tangent Transfer
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
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.
Papers archive 2025-07-28
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Finding trainable sparse networks through Neural Tangent Transfer 15 Jun 2020 · 1 repository · arXiv:2006.08228
Tasks archive 2025-07-28
1 task the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| General Classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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