In this work, we decrease the uncertainty of differentiable architecture search (DU-DARTS) by enforcing the distribution of archi- tecture parameters to ...
Nov 22, 2021 · This is an embedded video. Talk and the respective paper are published at BMVC 2021 virtual conference. If you are one of the authors of the ...
DU-DARTS. 16.74, 3.1M. DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search. 2021. 10. DARTS-PRIME. 17.44, 3.16M. DARTS-PRIME: ...
DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search ... This work decreases the uncertainty of differentiable architecture search (DU-DARTS) ...
Neural Architecture Search on CIFAR-10 - Papers With Code
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DU-DARTS. 2.32%, 3.8M, 0.4. DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search. 2021. 12. NoisyDARTS. 2.39%, 3.25M, 534M, 0.25. Noisy ...
We present a Model Uncertainty-aware Differentiable ARchiTecture Search (μDARTS) that optimizes neural networks to simultaneously achieve high accuracy and ...
Missing: DU- | Show results with:DU-
This technique allows gradient-based search to have exploration. In this paper, we present a novel approach, namely, Dynamic-Exploration DARTS (DE-DARTS).
Missing: DU- Uncertainty
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What is differentiable architecture search?
Jun 2, 2024 · Differentiable ARchiTecture Search (DARTS) is one of the most trending Neural Architecture Search. (NAS) methods. It drastically reduces ...
Missing: Uncertainty | Show results with:Uncertainty
Jul 24, 2021 · Abstract:We present a Model Uncertainty-aware Differentiable ARchiTecture Search (\muDARTS) that optimizes neural networks to simultaneously ...
Missing: DU- Decreasing
It is claimed that there exists overfitting in the optimization of DARTS, and a simple and effective algorithm is proposed, named "DARTS+", ...