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Deep-INFOMAX

This is a pytorch implementation of Deep-INFOMAX.

original paper : Learning deep representations by mutual information estimation and maximization.

reference github repositories

  1. DuaneNielsen/DeepInfomaxPytorch

pytorch. model definition and training script only without clustering example. our code is mainly based on this repository. Thanks!

  1. rcalland/deep-INFOMAX

chainer. model definition and traning script with (knn?) clustering example on CIFAR10. Better documentation.

related blogs and articles

  1. 深度学习中的互信息：无监督提取特征

instead Adversarial training, this blog implements gaussian distribution as prior (similar to VAE). worth a try.

sample result

after training 100 epochs with Adam(lr=1e-4), we see that the encoder is able to distinguish "animals" and non-living things. (among 100 test images)

top row : selected image; middle row : top 10 images with smallest L1 loss; bottom row : top 10 images with largest L1 loss.

sample.png

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