MMD-D

Reported on 5 benchmarks across 1 task · 1 paper · 5 SOTA

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

Methodology5 results

Two-sample testingonHDGM (d=10, N=4000)
Avg accuracy· 2020-02-21
65.9
SOTA
Learning Deep Kernels for Non-Parametric Two-Sample Tests arXiv:2002.09116
Two-sample testingonHIGGS Data Set
Avg accuracy· 2020-02-21
57.9
SOTA
Learning Deep Kernels for Non-Parametric Two-Sample Tests arXiv:2002.09116
Two-sample testingonCIFAR-10 vs CIFAR-10.1 (1000 samples)
Avg accuracy· 2020-02-21
74.4
SOTA
Learning Deep Kernels for Non-Parametric Two-Sample Tests arXiv:2002.09116
Two-sample testingonMNIST vs Fake MNIST
Avg accuracy· 2020-02-21
91
SOTA
Learning Deep Kernels for Non-Parametric Two-Sample Tests arXiv:2002.09116
Two-sample testingonBlob (9 modes, 40 for each)
Avg accuracy· 2020-02-21
98.5
SOTA
Learning Deep Kernels for Non-Parametric Two-Sample Tests arXiv:2002.09116