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Models/MLP

MLP

Reported on 20 benchmarks across 8 tasks · 4 papers · 4 SOTA

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

Medical6 results

  • Disease PredictiononUK CF trust
    AUC (ABPA)
    0.657
    best: 0.687 (PASS)
  • Disease PredictiononUK CF trust
    AUC (Aspergillus)
    0.601
    best: 0.641 (RETAIN)
  • Disease PredictiononUK CF trust
    AUC (Diabetes)
    0.751
    best: 0.771 (PASS)
  • Disease PredictiononUK CF trust
    AUC (E. Coli)
    0.656
    best: 0.701 (PASS)
  • Disease PredictiononUK CF trust
    AUC (I. Obstruction)
    0.553
    best: 0.578 (RETAIN)
  • Disease PredictiononUK CF trust
    AUC (K. Pneumonia)
    0.685
    best: 0.718 (PASS)

Graphs5 results

  • Node Property Predictiononogbn-arxiv
    Number of params· 2020-05-02
    110120
    best: 1386219488 (SimTeG+TAPE+RevGAT)
    Open Graph Benchmark: Datasets for Machine Learning on GraphsarXiv:2005.00687
  • Node Property Predictiononogbn-papers100M
    Number of params· 2020-05-02
    144044
    best: 14215818412 (Node2vec)
    Open Graph Benchmark: Datasets for Machine Learning on GraphsarXiv:2005.00687
  • Node Property Predictiononogbn-products
    Number of params· 2020-05-02
    103727
    best: 313612207 (Node2vec)
    Open Graph Benchmark: Datasets for Machine Learning on GraphsarXiv:2005.00687
  • Node Property Predictiononogbn-proteins
    Number of params· 2020-05-02
    96880
    best: 664233700 (LD+GAT)
    Open Graph Benchmark: Datasets for Machine Learning on GraphsarXiv:2005.00687
  • Node Property Predictiononogbn-mag
    Number of params· 2020-05-02
    188509
    best: 309777252 (R-GSN + metapath2vec)
    Open Graph Benchmark: Datasets for Machine Learning on GraphsarXiv:2005.00687

Audio3 results

  • Speech RecognitiononToN_IoT
    Accuray· 2018-06-24
    128
    SOTA
    Towards a Better Understanding and Regularization of GAN Training DynamicsarXiv:1806.09235
  • Speech SynthesisonToN_IoT
    Accuray· 2018-06-24
    128
    SOTA
    Towards a Better Understanding and Regularization of GAN Training DynamicsarXiv:1806.09235
  • Accented Speech RecognitiononToN_IoT
    Accuray· 2018-06-24
    128
    SOTA
    Towards a Better Understanding and Regularization of GAN Training DynamicsarXiv:1806.09235

Natural Language Processing3 results

  • Intrusion DetectiononCICIDS2017
    Avg F1· 2022-07-05
    0.873
    best: 0.9875 (OC-SVM / RF)
    An Intrusion Detection System based on Deep Belief NetworksarXiv:2207.02117
  • Intrusion DetectiononCICIDS2017
    Precision· 2022-07-05
    81.7
    best: 99.26 (OC-SVM / RF)
    An Intrusion Detection System based on Deep Belief NetworksarXiv:2207.02117
  • Intrusion DetectiononCICIDS2017
    Recall· 2022-07-05
    99.5
    best: 99.7 (DBN)
    An Intrusion Detection System based on Deep Belief NetworksarXiv:2207.02117

Time Series2 results

  • Fire DetectiononNIST Report of Test FR 4016
    F1-Score
    0.73
    best: 0.93 (rTPNN)
  • Fire DetectiononNIST Report of Test FR 4016
    MCC
    0.66
    best: 0.9 (rTPNN)

Methodology1 result

  • Stochastic OptimizationonMNIST
    NLL· 2017-05-22
    0.0541
    SOTA
    Training Deep Networks without Learning Rates Through Coin BettingarXiv:1705.07795