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Differentiable Architecture Search

DARTS

143 papers tagged archive 2025-07-28

Introduced by Hanxiao Liu et al. in DARTS: Differentiable Architecture Search

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

Differentiable Architecture Search (DART) is a method for efficient architecture search. The search space is made continuous so that the architecture can be optimized with respect to its validation set performance through gradient descent.

PaperSource

Papers archive 2025-07-28

30 shown of 143, 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.

Tasks archive 2025-07-28

20 shown of 94 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Neural Architecture Search108
GPU21
Image Classification15
image-classification11
Reinforcement Learning (RL)6
Bilevel Optimization5
General Classification5
Hyperparameter Optimization5
Language Modelling5
Semantic Segmentation5
reinforcement-learning5
AutoML4
BIG-bench Machine Learning4
Classification4
Language Modeling4
Network Pruning4
Reinforcement Learning4
model4
Automatic Speech Recognition3
Automatic Speech Recognition (ASR)3

Usage over time archive 2025-07-28

Papers per year tagged with DARTS: 2018 to 2025, peak 46 46 0 2018: 1 paper 2018 2019: 16 papers 2019 2020: 26 papers 2020 2021: 46 papers 2021 2022: 20 papers 2022 2023: 17 papers 2023 2024: 13 papers 2024 2025: 4 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (143 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