2022
A Quantitative Geometric Approach to Neural-Network Smoothness
NeurIPS 2022accept
Fast and precise Lipschitz constant estimation of neural networks is an important task for deep learning. Researchers have recently found an intrinsic trade-off between the accuracy and smoothness of neural networks, so training a network with a loose Lipschitz constant estimation imposes a strong r…