Active-Passive-Losses
Discover methods for deploying normalized loss functions in deep learning to manage noisy labels effectively. This resource offers a detailed implementation guide in PyTorch, allowing users to configure their experiments and choose appropriate noise handling strategies. Accessible guidelines and configuration files ensure straightforward setup and execution. It is suggested to reference the ICML2020 paper if utilizing this code for research.
