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/DNN

DNN

Reported on 39 benchmarks across 8 tasks · 4 papers · 31 SOTA

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

Medical18 results

  • ECG ClassificationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (1dAVb)· 2019-04-02
    0.893
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • ECG ClassificationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (AF)· 2019-04-02
    0.857
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • ECG ClassificationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (LBBB)· 2019-04-02
    0.984
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • ECG ClassificationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (RBBB)· 2019-04-02
    0.932
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • ECG ClassificationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (SB)· 2019-04-02
    0.882
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • ECG ClassificationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (ST)· 2019-04-02
    0.933
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Photoplethysmography (PPG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (1dAVb)· 2019-04-02
    0.893
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Photoplethysmography (PPG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (AF)· 2019-04-02
    0.857
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Photoplethysmography (PPG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (LBBB)· 2019-04-02
    0.984
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Photoplethysmography (PPG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (RBBB)· 2019-04-02
    0.932
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Photoplethysmography (PPG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (SB)· 2019-04-02
    0.882
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Photoplethysmography (PPG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (ST)· 2019-04-02
    0.933
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Blood pressure estimationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (1dAVb)· 2019-04-02
    0.893
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Blood pressure estimationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (AF)· 2019-04-02
    0.857
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Blood pressure estimationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (LBBB)· 2019-04-02
    0.984
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Blood pressure estimationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (RBBB)· 2019-04-02
    0.932
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Blood pressure estimationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (SB)· 2019-04-02
    0.882
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Blood pressure estimationonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (ST)· 2019-04-02
    0.933
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949

Methodology16 results

  • Electrocardiography (ECG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (1dAVb)· 2019-04-02
    0.893
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Electrocardiography (ECG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (AF)· 2019-04-02
    0.857
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Electrocardiography (ECG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (LBBB)· 2019-04-02
    0.984
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Electrocardiography (ECG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (RBBB)· 2019-04-02
    0.932
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Electrocardiography (ECG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (SB)· 2019-04-02
    0.882
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Electrocardiography (ECG)onElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (ST)· 2019-04-02
    0.933
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Medical waveform analysisonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (1dAVb)· 2019-04-02
    0.893
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Medical waveform analysisonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (AF)· 2019-04-02
    0.857
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Medical waveform analysisonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (LBBB)· 2019-04-02
    0.984
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Medical waveform analysisonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (RBBB)· 2019-04-02
    0.932
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Medical waveform analysisonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (SB)· 2019-04-02
    0.882
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Medical waveform analysisonElectrocardiography (ECG) on Telehealth Network of Minas Gerais (TNMG)
    F1 (ST)· 2019-04-02
    0.933
    SOTA
    Automatic diagnosis of the 12-lead ECG using a deep neural networkarXiv:1904.01949
  • Electrocardiography (ECG)on"Cardiologist-level" 12-rhythm ECG dataset
    F1 (Sequence)
    0.807
  • Electrocardiography (ECG)on"Cardiologist-level" 12-rhythm ECG dataset
    F1 (Set)
    0.837
  • Medical waveform analysison"Cardiologist-level" 12-rhythm ECG dataset
    F1 (Sequence)
    0.807
  • Medical waveform analysison"Cardiologist-level" 12-rhythm ECG dataset
    F1 (Set)
    0.837

Miscellaneous3 results

  • Click-Through Rate PredictiononBing News
    AUC· 2018-03-14
    0.03
    best: 0.84 (xDeepFM)
    xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender SystemsarXiv:1803.05170
  • Click-Through Rate PredictiononBing News
    Log Loss· 2018-03-14
    0.3382
    best: 0.2649 (xDeepFM)
    xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender SystemsarXiv:1803.05170
  • Click-Through Rate PredictiononDianping
    AUC· 2018-03-14
    0.8318
    best: 0.8639 (xDeepFM)
    xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender SystemsarXiv:1803.05170

Audio1 result

  • Speech RecognitiononSwitchboard + Hub500
    Percentage error· 2014-06-30
    16
    best: 4.3 (IBM (LSTM+Conformer encoder-decoder))
    SOTA
    Building DNN Acoustic Models for Large Vocabulary Speech RecognitionarXiv:1406.7806

Speech1 result

  • Keyword SpottingonGoogle Speech Commands
    Google Speech Commands V1 12· 2017-11-20
    91.6
    best: 98.56 (TripletLoss-res15)
    Hello Edge: Keyword Spotting on MicrocontrollersarXiv:1711.07128