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Models/DARTS-V1

DARTS-V1

Reported on 12 benchmarks across 2 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology12 results

  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Accuracy (Test)
    54.3
    best: 94.37 (DiNAS)
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Accuracy (Val)
    39.77
    best: 91.61 (DiNAS)
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Search time (s)
    10890
    best: 31010 (SETN)
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Accuracy (Test)
    15.61
    best: 73.51 (DiNAS)
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Accuracy (Val)
    15.03
    best: 73.49 (DiNAS)
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Search time (s)
    10890
    best: 31010 (SETN)
  • AutoMLonNAS-Bench-201, CIFAR-10
    Accuracy (Test)
    54.3
    best: 94.37 (DiNAS)
  • AutoMLonNAS-Bench-201, CIFAR-10
    Accuracy (Val)
    39.77
    best: 91.61 (DiNAS)
  • AutoMLonNAS-Bench-201, CIFAR-10
    Search time (s)
    10890
    best: 31010 (SETN)
  • AutoMLonNAS-Bench-201, CIFAR-100
    Accuracy (Test)
    15.61
    best: 73.51 (DiNAS)
  • AutoMLonNAS-Bench-201, CIFAR-100
    Accuracy (Val)
    15.03
    best: 73.49 (DiNAS)
  • AutoMLonNAS-Bench-201, CIFAR-100
    Search time (s)
    10890
    best: 31010 (SETN)