Jun 18, 2020 · This paper proposes a novel differentiable architecture search method by formulating it into a distribution learning problem.
This paper proposes a novel differentiable architecture search method by formulating it into a distribution learning problem. We treat the continuously relaxed ...
In this paper, we propose Dirichlet Neural Architecture Search (DrNAS). We formulate the differen- tiable NAS as a constraint distribution learning problem, ...
Jan 12, 2021 · This paper proposes a novel differentiable architecture search method by formulating it into a distribution learning problem.
“Stabilizing Differentiable Architecture Search via Perturbation-based Regularization.” In ICML, 2020. ➢ Distorted structures. ○ All operations are skip- ...
This paper proposes a novel differentiable architecture search method by formulating it into a distribution learning problem, modeled by Dirichlet ...
Sep 13, 2024 · This paper proposes a novel differentiable architecture search method by formulating it into a distribution learning problem.
Mar 16, 2021 · This paper proposes a novel differentiable architecture search method by formu- lating it into a distribution learning problem.
○ Architecture selection: magnitude of 𝞫. [Chen*, Wang*, Cheng*, Tang, Hsieh] DrNAS: Dirichlet Neural Architecture Search. In ICLR, 2020. Page 51 ...
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The current state-of-the-art on NAS-Bench-201, CIFAR-10 is DiNAS. See a full comparison of 37 papers with code.