Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

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Benchmark	Model	Rank	Results
conditional-image-generation-on-cifar-10	DCGAN	#23	Inception score: 6.58
image-classification-on-cifar-10	DCGAN	#213	Percentage correct: 82.8
image-classification-on-cifar-10	1 Layer K-means	#218	Percentage correct: 80.6
image-classification-on-svhn	DCGAN	#42	Percentage error: 22.48
image-classification-on-svhn	Supervised CNN	#44	Percentage error: 28.87
image-classification-on-svhn	TSVM	#49	Percentage error: 66.55
image-classification-on-svhn	KNN	#50	Percentage error: 77.93
image-clustering-on-cifar-10	GAN	#32	Accuracy: 0.315NMI: 0.265ARI: 0.176Train set: Train+Test…
image-clustering-on-cifar-100	GAN	#26	Accuracy: 0.151NMI: 0.120Train Set: Train+Test
image-clustering-on-imagenet-10	GAN	#16	NMI: 0.225Accuracy: 0.346
image-clustering-on-imagenet-dog-15	GAN	#19	Accuracy: 0.174NMI: 0.121
image-clustering-on-stl-10	GAN	#25	Accuracy: 0.298NMI: 0.210Train Split: Train+Test
image-clustering-on-tiny-imagenet	GAN	#10	Accuracy: 0.041NMI: 0.135