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Models/MaskGAN

MaskGAN

Reported on 12 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Time Series6 results

  • ImputationonBasketball Players Movement
    OOB Rate (10^−3) · 2018-01-23
    4.592
    best: 4.703 (GRUI)
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • ImputationonBasketball Players Movement
    Path Difference· 2018-01-23
    0.68
    best: 0.571 (BRITS (SingleRes))
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • ImputationonBasketball Players Movement
    Path Length· 2018-01-23
    0.793
    best: 1.141 (GRUI)
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • ImputationonBasketball Players Movement
    Player Distance · 2018-01-23
    0.427
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • ImputationonBasketball Players Movement
    Step Change (10^−3)· 2018-01-23
    9.622
    best: 14.95 (GRUI)
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • ImputationonPEMS-SF
    L2 Loss (10^-4)
    6.02
    best: 3.54 (NAOMI)

Methodology6 results

  • Feature EngineeringonBasketball Players Movement
    OOB Rate (10^−3) · 2018-01-23
    4.592
    best: 4.703 (GRUI)
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • Feature EngineeringonBasketball Players Movement
    Path Difference· 2018-01-23
    0.68
    best: 0.571 (BRITS (SingleRes))
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • Feature EngineeringonBasketball Players Movement
    Path Length· 2018-01-23
    0.793
    best: 1.141 (GRUI)
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • Feature EngineeringonBasketball Players Movement
    Player Distance · 2018-01-23
    0.427
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • Feature EngineeringonBasketball Players Movement
    Step Change (10^−3)· 2018-01-23
    9.622
    best: 14.95 (GRUI)
    SOTA
    MaskGAN: Better Text Generation via Filling in the______arXiv:1801.07736
  • Feature EngineeringonPEMS-SF
    L2 Loss (10^-4)
    6.02
    best: 3.54 (NAOMI)