Formalizing generalization and adversarial robustness of neural networks to weight perturbations
Studying the sensitivity of weight perturbation in neural networks and its impacts on model
performance, including generalization and robustness, is an active research topic due to its …
performance, including generalization and robustness, is an active research topic due to its …
Complexity measures for neural networks with general activation functions using path-based norms
A simple approach is proposed to obtain complexity controls for neural networks with
general activation functions. The approach is motivated by approximating the general …
general activation functions. The approach is motivated by approximating the general …
Formalizing generalization and robustness of neural networks to weight perturbations
Studying the sensitivity of weight perturbation in neural networks and its impacts on model
performance, including generalization and robustness, is an active research topic due to its …
performance, including generalization and robustness, is an active research topic due to its …
Path-BN: Towards effective batch normalization in the Path Space for ReLU networks
Neural networks with ReLU activation functions (abbrev. ReLU Networks), have
demonstrated their success in many applications. Recently, researchers noticed that ReLU …
demonstrated their success in many applications. Recently, researchers noticed that ReLU …