Simple PyTorch implementation of Robust Cross Entropy Loss from Making deep neural networks robust to label noise: A loss correction approach:
- Implements both backward and forward methods
- Inspired by the following Keras implementation.
-
Notifications
You must be signed in to change notification settings - Fork 0
PyTorch Implementation of Robust Cross Entropy Loss (Loss Correction for Label Noise)
License
carlomarxdk/RobustCrossEntropyLoss
About
PyTorch Implementation of Robust Cross Entropy Loss (Loss Correction for Label Noise)