v1v2 (latest)

Lipschitz regularity of deep neural networks: analysis and efficient estimation

28 May 2018

Papers citing "Lipschitz regularity of deep neural networks: analysis and efficient estimation"

33 / 333 papers shown

Title
Kernel Distributionally Robust Optimization Jia Jie Zhu Wittawat Jitkrittum Moritz Diehl Bernhard Schölkopf 105 16 0 12 Jun 2020
Achieving robustness in classification using optimal transport with hinge regularization M. Serrurier Franck Mamalet Alberto González Sanz Thibaut Boissin Jean-Michel Loubes E. del Barrio AAML 58 40 0 11 Jun 2020
The Lipschitz Constant of Self-Attention Hyunjik Kim George Papamakarios A. Mnih 92 146 0 08 Jun 2020
Learning disconnected manifolds: a no GANs land Ugo Tanielian Thibaut Issenhuth Elvis Dohmatob Jérémie Mary 63 36 0 08 Jun 2020
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing Vishaal Krishnan Abed AlRahman Al Makdah Fabio Pasqualetti OOD AAML 78 23 0 05 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla Soheil Feizi AAML 74 60 0 01 Jun 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update Zechun Liu Xinming Zhang Zhiqiang Shen Zhe Li Yichen Wei Kwang-Ting Cheng Jian Sun 76 19 0 18 May 2020
Training robust neural networks using Lipschitz bounds Patricia Pauli Anne Koch J. Berberich Paul Kohler Frank Allgöwer 90 163 0 06 May 2020
Local Lipschitz Bounds of Deep Neural Networks Calypso Herrera Florian Krach Josef Teichmann 24 3 0 27 Apr 2020
Revisiting Initialization of Neural Networks Maciej Skorski Alessandro Temperoni Martin Theobald 43 2 0 20 Apr 2020
Accelerating Physics-Informed Neural Network Training with Prior Dictionaries Wei Peng Weien Zhou Jun Zhang Wen Yao PINN AI4CE 136 31 0 17 Apr 2020
Learning Control Barrier Functions from Expert Demonstrations Alexander Robey Haimin Hu Lars Lindemann Hanwen Zhang Dimos V. Dimarogonas Stephen Tu Nikolai Matni 124 208 0 07 Apr 2020
Volumization as a Natural Generalization of Weight Decay Liu Ziyin Zihao Wang M. Yamada Masahito Ueda AI4CE 20 0 0 25 Mar 2020
Tune smarter not harder: A principled approach to tuning learning rates for shallow nets Thulasi Tholeti Sheetal Kalyani 27 4 0 22 Mar 2020
Interference and Generalization in Temporal Difference Learning Emmanuel Bengio Joelle Pineau Doina Precup 85 61 0 13 Mar 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks Matt Jordan A. Dimakis 89 112 0 02 Mar 2020
Generalised Lipschitz Regularisation Equals Distributional Robustness Zac Cranko Zhan Shi Xinhua Zhang Richard Nock Simon Kornblith OOD 86 21 0 11 Feb 2020
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks Tong Chen J. Lasserre Victor Magron Edouard Pauwels 43 3 0 10 Feb 2020
Gated Graph Recurrent Neural Networks Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 116 146 0 03 Feb 2020
Safe Predictors for Enforcing Input-Output Specifications Stephen Mell Olivia M. Brown Justin A. Goodwin Sung-Hyun Son 43 6 0 29 Jan 2020
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring Sibylle Hess W. Duivesteijn Decebal Constantin Mocanu 60 13 0 07 Jan 2020
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants Siqi Zhou Angela P. Schoellig 44 12 0 24 Dec 2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks Yizhen Dong Peixin Zhang Jingyi Wang Shuang Liu Jun Sun Jianye Hao Xinyu Wang Li Wang J. Dong Ting Dai OOD AAML 73 32 0 14 Nov 2019
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization Mina Basirat P. Roth 66 8 0 27 Oct 2019
Surfing: Iterative optimization over incrementally trained deep networks Ganlin Song Z. Fan John D. Lafferty 73 20 0 19 Jul 2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 53 8 0 14 Jun 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 169 462 0 12 Jun 2019
Rethinking Arithmetic for Deep Neural Networks George A. Constantinides 64 4 0 07 May 2019
Robust Coreset Construction for Distributed Machine Learning Hanlin Lu Ming-Ju Li T. He Shiqiang Wang Vijay Narayanan Kevin S. Chan OOD 83 25 0 11 Apr 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes Matt Jordan Justin Lewis A. Dimakis AAML 79 57 0 20 Mar 2019
Improving MMD-GAN Training with Repulsive Loss Function Wei Wang Yuan Sun Saman K. Halgamuge GAN 99 80 0 24 Dec 2018
On Lipschitz Bounds of General Convolutional Neural Networks Dongmian Zou R. Balan Maneesh Kumar Singh 70 55 0 04 Aug 2018
Regularization via Mass Transportation Soroosh Shafieezadeh-Abadeh Daniel Kuhn Peyman Mohajerin Esfahani OOD 138 206 0 27 Oct 2017