TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/LiDAM

LiDAM

Reported on 14 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision14 results

  • Image ClassificationonCIFAR-100, 5000 Labels
    Accuracy (%)· 2020-10-13
    75.14
    SOTA
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Image ClassificationonCIFAR-100, 2500 Labels
    Percentage error· 2020-10-13
    26.5
    best: 22.19 (SemiOccam)
    SOTA
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Image ClassificationonCIFAR-100, 5000Labels
    Percentage correct· 2020-10-13
    75.14
    SOTA
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Semi-Supervised Image ClassificationonCIFAR-100, 5000 Labels
    Accuracy (%)· 2020-10-13
    75.14
    SOTA
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Semi-Supervised Image ClassificationonCIFAR-100, 2500 Labels
    Percentage error· 2020-10-13
    26.5
    best: 22.19 (SemiOccam)
    SOTA
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Semi-Supervised Image ClassificationonCIFAR-100, 5000Labels
    Percentage correct· 2020-10-13
    75.14
    SOTA
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2020-10-13
    7.48
    best: 3.96 (SimMatch)
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Image ClassificationonCIFAR-10, 1000 Labels
    Accuracy· 2020-10-13
    89.04
    best: 92.25 (MixMatch)
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Image Classificationoncifar-100, 10000 Labels
    Percentage error· 2020-10-13
    23.22
    best: 19.32 (CCSSL(FixMatch))
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Image ClassificationonCIFAR-10, 250 Labels
    Percentage error· 2020-10-13
    19.17
    best: 3.47 (SemiOccam)
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Semi-Supervised Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2020-10-13
    7.48
    best: 3.96 (SimMatch)
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Semi-Supervised Image ClassificationonCIFAR-10, 1000 Labels
    Accuracy· 2020-10-13
    89.04
    best: 92.25 (MixMatch)
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Semi-Supervised Image Classificationoncifar-100, 10000 Labels
    Percentage error· 2020-10-13
    23.22
    best: 19.32 (CCSSL(FixMatch))
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668
  • Semi-Supervised Image ClassificationonCIFAR-10, 250 Labels
    Percentage error· 2020-10-13
    19.17
    best: 3.47 (SemiOccam)
    LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative MatchingarXiv:2010.06668