Replacing skip connections with a learnable 1x1 convolution (ELS) during weight-sharing supernet training stabilizes the supernet and improves architecture ranking, yielding the SCARLET family of ImageNet models.
In: ICLR (2019)
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SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search
Replacing skip connections with a learnable 1x1 convolution (ELS) during weight-sharing supernet training stabilizes the supernet and improves architecture ranking, yielding the SCARLET family of ImageNet models.