2.5k citations · 2.7k across the 13 of their papers we have counts for
Showing 2020 · cs.LGShow all
3 papers · 2 filters
cs.LG2020★ 20 cited
Feature Learning in Infinite-Width Neural Networks
Greg Yang, Edward J. Hu
As its width tends to infinity, a deep neural network's behavior under gradient descent can become simplified and predictable (e.g. given by the Neural Tangent Kernel (NTK)), if it…
cs.LG2020★ 9 cited
Improved Image Wasserstein Attacks and Defenses
Edward J. Hu, Adith Swaminathan, Hadi Salman +1
Robustness against image perturbations bounded by a ball have been well-studied in recent literature. Perturbations in the real-world, however, rarely exhibit the pixel in…
cs.LG2020★ 30 cited
Randomized Smoothing of All Shapes and Sizes
Greg Yang, Tony Duan, J. Edward Hu +3
Randomized smoothing is the current state-of-the-art defense with provable robustness against adversarial attacks. Many works have devised new randomized smoothing schemes…