activity
20172021
most citedImproving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients

280 citations · 330 across the 5 of their papers we have counts for

collaborators
Showing cs.CYShow all

1 paper · 1 filter

cs.CY2019

Tackling Climate Change with Machine Learning

David Rolnick, Priya L. Donti, Lynn H. Kaack +19

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a po…