Robust Large Margin Deep Neural Networks

26 May 2016

Papers citing "Robust Large Margin Deep Neural Networks"

41 / 41 papers shown

Title
A Margin-based Multiclass Generalization Bound via Geometric Complexity Michael Munn Benoit Dherin Javier Gonzalvo UQCV 33 2 0 28 May 2024
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models Josip Jukić Jan Snajder 21 0 0 31 Mar 2024
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 11 3 0 29 Aug 2023
Dendritic Integration Based Quadratic Neural Networks Outperform Traditional Aritificial Ones Chongmin Liu Songting Li Douglas Zhou 9 0 0 25 May 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 8 4 0 25 May 2023
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 11 2 0 04 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 15 6 0 02 Nov 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 35 17 0 24 Oct 2022
Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems Muhammad Umar B. Niazi Johnson R. Cao Xu-yang Sun Amritam Das Karl H. Johansson OOD 11 22 0 04 Oct 2022
Exact Spectral Norm Regularization for Neural Networks Anton Johansson Claes Strannegård Niklas Engsner P. Mostad AAML 8 2 0 27 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 17 0 0 27 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization Vignesh Kothapalli 19 70 0 08 Jun 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 16 48 0 01 May 2022
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks Yang Zhao Hao Zhang 19 1 0 16 Jan 2022
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 20 0 0 29 Nov 2021
On the Equivalence between Neural Network and Support Vector Machine Yilan Chen Wei Huang Lam M. Nguyen Tsui-Wei Weng AAML 15 18 0 11 Nov 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu Sungsoo Ahn Le Song Jinwoo Shin OffRL 16 31 0 27 Oct 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks E. M. Achour Franccois Malgouyres Franck Mamalet 8 20 0 12 Aug 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 28 61 0 19 Jul 2021
Discrete-Valued Neural Communication Dianbo Liu DianboLiu Alex Lamb Kenji Kawaguchi Anirudh Goyal Chen Sun Michael C. Mozer Yoshua Bengio 13 50 0 06 Jul 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 30 83 0 23 Mar 2021
Explicit Regularisation in Gaussian Noise Injections A. Camuto M. Willetts Umut Simsekli Stephen J. Roberts Chris Holmes 6 55 0 14 Jul 2020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders A. Camuto M. Willetts Stephen J. Roberts Chris Holmes Tom Rainforth AAML DRL 21 29 0 14 Jul 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Jackson Wang Roger C. Grosse J. Jacobsen 6 92 0 16 Jun 2020
Topologically Densified Distributions Christoph Hofer Florian Graf Marc Niethammer Roland Kwitt 20 15 0 12 Feb 2020
On Robustness of Neural Ordinary Differential Equations Hanshu Yan Jiawei Du Vincent Y. F. Tan Jiashi Feng OOD 11 138 0 12 Oct 2019
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin Colin Wei Tengyu Ma AAML OOD 14 85 0 09 Oct 2019
Minimal Achievable Sufficient Statistic Learning Milan Cvitkovic Günther Koliander 15 12 0 19 May 2019
Orthogonal Deep Neural Networks K. Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 18 131 0 15 May 2019
MMA Training: Direct Input Space Margin Maximization through Adversarial Training G. Ding Yash Sharma Kry Yik-Chau Lui Ruitong Huang AAML 11 270 0 06 Dec 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen D. Duvenaud J. Jacobsen UQCV TPM 4 617 0 02 Nov 2018
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 14 109 0 03 Aug 2018
Large Margin Deep Networks for Classification Gamaleldin F. Elsayed Dilip Krishnan H. Mobahi Kevin Regan Samy Bengio MQ 18 280 0 15 Mar 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 25 109 0 23 Feb 2018
Gradient Regularization Improves Accuracy of Discriminative Models D. Varga Adrián Csiszárik Zsolt Zombori 6 53 0 28 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 23 1,383 0 08 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks A. Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 22 11,809 0 19 Jun 2017
Generalization Error of Invariant Classifiers Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 11 77 0 14 Oct 2016
Benefits of depth in neural networks Matus Telgarsky 123 602 0 14 Feb 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 114 577 0 27 Feb 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 175 1,184 0 30 Nov 2014