Toward Understanding Supervised Representation Learning with RKHS and GAN

Benchmark Model Rank Results
image-classification-on-kuzushiji-mnistCN(d=16)Accuracy: 98.80
image-classification-on-kuzushiji-mnistCN(d=32)Accuracy: 98.84
image-classification-on-kuzushiji-mnistCN(d=8)Accuracy: 98.60
image-classification-on-kuzushiji-mnistNSRL (WGAN) (d=16)Accuracy: 98.66
image-classification-on-kuzushiji-mnistNSRL (WGAN) (d=32)Accuracy: 98.72
image-classification-on-kuzushiji-mnistNSRL (WGAN) (d=8)Accuracy: 98.68
image-classification-on-kuzushiji-mnistNSRL (log D) (d=16)Accuracy: 98.81
image-classification-on-kuzushiji-mnistNSRL (log D) (d=32)Accuracy: 98.63
image-classification-on-kuzushiji-mnistNSRL (log D) (d=8)Accuracy: 98.61
image-classification-on-stl-10CN(d=128)Percentage correct: 98.45
image-classification-on-stl-10CN(d=32)Percentage correct: 98.17
image-classification-on-stl-10CN(d=64)Percentage correct: 98.36
image-classification-on-stl-10NSRL+CN(d=128)Percentage correct: 98.36
image-classification-on-stl-10NSRL+CN(d=32)Percentage correct: 98.34
image-classification-on-stl-10NSRL+CN(d=64)Percentage correct: 98.24