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/APL

APL

Reported on 12 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision12 results

  • Image ClassificationonOMNIGLOT - 5-Shot, 1000 way
    Accuracy· 2019-02-07
    78.9
    SOTA
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Image ClassificationonOMNIGLOT - 1-Shot, 1000 way
    Accuracy· 2019-02-07
    68.9
    SOTA
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Image ClassificationonOMNIGLOT - 1-Shot, 423 way
    Accuracy· 2019-02-07
    73.5
    SOTA
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Image ClassificationonOMNIGLOT - 5-Shot, 423 way
    Accuracy· 2019-02-07
    88
    SOTA
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Few-Shot Image ClassificationonOMNIGLOT - 5-Shot, 1000 way
    Accuracy· 2019-02-07
    78.9
    SOTA
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Few-Shot Image ClassificationonOMNIGLOT - 1-Shot, 1000 way
    Accuracy· 2019-02-07
    68.9
    SOTA
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Few-Shot Image ClassificationonOMNIGLOT - 1-Shot, 423 way
    Accuracy· 2019-02-07
    73.5
    SOTA
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Few-Shot Image ClassificationonOMNIGLOT - 5-Shot, 423 way
    Accuracy· 2019-02-07
    88
    SOTA
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Image ClassificationonOMNIGLOT - 1-Shot, 5-way
    Accuracy· 2019-02-07
    97.9
    best: 99.97 (MC2+)
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Image ClassificationonOMNIGLOT - 5-Shot, 5-way
    Accuracy· 2019-02-07
    99.9
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Few-Shot Image ClassificationonOMNIGLOT - 1-Shot, 5-way
    Accuracy· 2019-02-07
    97.9
    best: 99.97 (MC2+)
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527
  • Few-Shot Image ClassificationonOMNIGLOT - 5-Shot, 5-way
    Accuracy· 2019-02-07
    99.9
    Adaptive Posterior Learning: few-shot learning with a surprise-based memory modulearXiv:1902.02527