WAR

This repository contains the pytroch code to reproduce the results the paper "Wasserstein Adversarial Regularization for Learning with Label Noise", Accepted at IEEE PAMI

Name		Name	Last commit message	Last commit date
wor2vec_embed		wor2vec_embed
LICENSE		LICENSE
README.md		README.md
architectures.py		architectures.py
main_wat_new.py		main_wat_new.py
simulate_noisylabel.py		simulate_noisylabel.py
utils_pytorch_new.py		utils_pytorch_new.py

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