2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
NeurIPS 2019poster
We present a comprehensive study of multilayer neural networks with binary activation, relying on the PAC-Bayesian theory. Our contributions are twofold: (i) we develop an end-to-end framework to train a binary activated deep neural network, (ii) we provide nonvacuous PAC-Bayesian generalization bou…