Methods › General › Neural Architecture Search › DARTS Max-W

Differentiable Architecture Search Max-W

DARTS Max-W

1 paper tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Like DARTS, except subtract the max weight gradients.

Max-W Weighting: outputᵢ = (1 - max(w) + wᵢ) * opᵢ(inputᵢ)

Source: sharpDARTS: Faster and More Accurate Differentiable...See Code · raw.githubusercontent.com/ahundt/sharpDARTS/master/cnn/model_search.py

Papers archive 2025-07-28

1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

sharpDARTS: Faster and More Accurate Differentiable Architecture Search
23 Mar 2019 · 2 repositories · arXiv:1903.09900

Syntology ran 1 of 1 samples · 0 unverified

Tasks archive 2025-07-28

3 tasks 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
Hyperparameter Optimization	1
Image Classification	1
Neural Architecture Search	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (1 dated). Bars are counts, not a trend claim.

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

Neural Architecture Search

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections