Unsupervised Mnist On Mnist

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	Accuracy
subtab-subsetting-features-of-tabular-data	98.31
inferencing-based-on-unsupervised-learning-of	96.61
minimalistic-unsupervised-learning-with-the	99.3
stacked-capsule-autoencoders	98.7
pixelgan-autoencoders	94.73
invariant-information-distillation-for	99.3
adversarial-autoencoders	95.9
denmune-density-peak-based-clustering-using-1	-
infogan-interpretable-representation-learning	95
unsupervised-and-semi-supervised-learning	95.73
improving-self-organizing-maps-with	96.9