Table 2:

This table shows the test accuracy on MNIST, CIFAR10, CIFAR100, and VGGFACE100 when M is biased.

Method╲rl	0.2	0.6	1.0	0.2	0.6	1.0
	True M			Esimated M
	MNIST
DCL	0.675	0.866	880	0.563	0.787	0.894
CCGAN	0.839	0.908	0.918	0.773	0.837	0.916
	CIFAR10
DCL	0.413	0.658	0.724	0.282	0.624	0.713
CCGAN	0.559	0.767	0.815	0.440	0.740	0.757
	CIFAR100
DCL	0.2814	0.582	663	0.176	0.381	0.574
CCGAN	0.320	0.621	0.664	0.206	0.445	0.589
	VGGFACE100
DCL	0.461	0.769	0.863	0.161	0.660	0.836
CCGAN	0.533	0.805	0.866	0.174	0.681	0.850