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Models/NP-Match

NP-Match

Reported on 14 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Computer Vision14 results

  • Image ClassificationonSTL-10, 1000 Labels
    Accuracy· 2022-07-03
    94.53
    SOTA
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Image ClassificationonSTL-10, 40 Labels
    Accuracy· 2022-07-03
    85.8
    best: 95.43 (SemiOccam)
    SOTA
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Semi-Supervised Image ClassificationonSTL-10, 1000 Labels
    Accuracy· 2022-07-03
    94.53
    SOTA
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Semi-Supervised Image ClassificationonSTL-10, 40 Labels
    Accuracy· 2022-07-03
    85.8
    best: 95.43 (SemiOccam)
    SOTA
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Image ClassificationonCIFAR-100, 2500 Labels
    Percentage error· 2022-07-03
    26.03
    best: 22.19 (SemiOccam)
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Image Classificationoncifar-100, 10000 Labels
    Percentage error· 2022-07-03
    21.22
    best: 19.32 (CCSSL(FixMatch))
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Image ClassificationonCIFAR-100, 400 Labels
    Percentage error· 2022-07-03
    38.67
    best: 15.62 (SemiReward)
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Image ClassificationonCIFAR-10, 40 Labels
    Percentage error· 2022-07-03
    4.91
    best: 3.51 (SemiOccam)
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Image ClassificationonCIFAR-10, 250 Labels
    Percentage error· 2022-07-03
    4.87
    best: 3.47 (SemiOccam)
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Semi-Supervised Image ClassificationonCIFAR-100, 2500 Labels
    Percentage error· 2022-07-03
    26.03
    best: 22.19 (SemiOccam)
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Semi-Supervised Image Classificationoncifar-100, 10000 Labels
    Percentage error· 2022-07-03
    21.22
    best: 19.32 (CCSSL(FixMatch))
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Semi-Supervised Image ClassificationonCIFAR-100, 400 Labels
    Percentage error· 2022-07-03
    38.67
    best: 15.62 (SemiReward)
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Semi-Supervised Image ClassificationonCIFAR-10, 40 Labels
    Percentage error· 2022-07-03
    4.91
    best: 3.51 (SemiOccam)
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066
  • Semi-Supervised Image ClassificationonCIFAR-10, 250 Labels
    Percentage error· 2022-07-03
    4.87
    best: 3.47 (SemiOccam)
    NP-Match: When Neural Processes meet Semi-Supervised LearningarXiv:2207.01066