[R] Less is More: Understanding Neural Network Decisions via Simplified Yet Informative Inputs

A research team from University Medical Center Freiburg, ML Collective, and Google Brain introduces SimpleBits — an information-reduction method that learns to synthesize simplified inputs that contain less information yet remain informative for the task, providing a new approach for exploring the basis of network decisions.

Here is a quick read: Less is More: Understanding Neural Network Decisions via Simplified Yet Informative Inputs.

The paper When Less is More: Simplifying Inputs Aids Neural Network Understanding is on arXiv.

artificial network neural network