Aug 18, 2021 · Replacing the bi-level optimization, Single-DARTS obviously alleviates performance collapse as well as enhances the stability of architecture ...

Differentiable architecture search (DARTS) marks a milestone in Neural Architecture Search (NAS), boasting simplicity and small search costs.

We propose Single-DARTS which merely uses single-level optimization, updating network weights and architecture parameters simultaneously with the same data ...

This paper is the first to point out that the phenomenon of frequent performance collapse is attributed to bi-level optimization, and proposes Single-DARTS ...

Single-DARTS: Towards stable architecture search‏. P Hou, Y Jin, Y Chen‏. Proceedings of the IEEE/CVF International Conference on Computer Vision, 373-382 ...

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SCARLET-NAS: Bridging the Gap Between Stability and Scalability in Weight-Sharing Neural Architecture Search ... Single-DARTS: Towards Stable Architecture Search.

Unlike randomized, evolutionary, and reinforcement learning based discrete architecture search, DARTS can score every architecture in the search space by ...

DARTS is a technique used in machine learning to efficiently design neural network architectures with low computational cost.

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