DeepInfomaxPytorch

by DuaneNielsen

DuaneNielsen / DeepInfomaxPytorch

Learning deep representations by mutual information estimation and maximization

162 Stars 25 Forks Last release: Not found 14 Commits 0 Releases

Available items

No Items, yet!

The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:

Deep InfoMax Pytorch

Pytorch implementation of Deep InfoMax https://arxiv.org/abs/1808.06670

Encoding data by maximimizing mutual information between the latent space and in this case, CIFAR 10 images.

Ported most of the code from rcallands chainer implementation. Thanks buddy! https://github.com/rcalland/deep-INFOMAX

Pytorch implementation by the research team here

Current Results (work in progress)

| |airplane |automobile | bird | cat | deer| dog | frog| horse| ship| truck| |-----------------|-------|--------|-------|-------|-------|-------|-------|-------|-------|------| |Fully supervised |0.7780 | 0.8907 | 0.6233| 0.5606| 0.6891| 0.6420| 0.7967| 0.8206| 0.8619| 0.8291 |DeepInfoMax-Local|0.6120 | 0.6969 | 0.4020| 0.4226| 0.4917| 0.5806| 0.6871| 0.5806| 0.6855| 0.5647

alt_text

Figure 1
Top: a red lamborghini, Middle: 10 closest images in the latent space (L2 distance), Bottom: 10 farthest images in the latent space.

Some more results..

alt_text

alt_text

alt_text

alt_text

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.