Laplacian Networks: Bounding Indicator Function Smoothness for Neural
Network Robustness

Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness

24 May 2018

Carlos Lassance

Vincent Gripon

Papers citing "Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness"

6 / 6 papers shown

Title
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 27 6 0 20 Sep 2022
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs David Bonet Antonio Ortega Javier Ruiz-Hidalgo Sarath Shekkizhar GNN 31 7 0 18 Oct 2021
Graphs as Tools to Improve Deep Learning Methods Carlos Lassance Myriam Bontonou Mounia Hamidouche Bastien Pasdeloup Lucas Drumetz Vincent Gripon GNN AI4CE AAML 39 0 0 08 Oct 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,234 0 24 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,109 0 04 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016