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Clustering on MNIST Unsupervised

Clustering on MNIST Unsupervised

0.0427Error RateConvolutional CatGAN

Updated 8mo ago

Evaluation results

Method	Links
Convolutional CatGAN2017.06		0.0427
InfoGAN2017.06		0.05

State-of-the-art paper

Convolutional CatGAN

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Dataset

MNIST

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Related benchmarks

Semi-supervised Classification on NORB 1000 labels Semi-supervised Classification on MNIST 20 labels Semi-supervised Classification on MNIST 50 labels Semi-supervised Classification on SVHN 500 labels

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