Emergence of Binary Encoding in Deep Neural Network Classifiers

The author explores the emergence of binary encoding within deep neural network classifiers, highlighting its benefits in enhancing robustness, reliability, and accuracy. The approach involves inducing a collapse of latent representations into a binary structure through a specific method.