Large Margin Deep Networks for Classification

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Large Margin Deep Networks for Classification

Neural Information Processing Systems (NeurIPS), 2018

15 March 2018

Gamaleldin F. Elsayed

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Papers citing "Large Margin Deep Networks for Classification"

17 / 167 papers shown

Title
On the Connection Between Adversarial Robustness and Saliency Map InterpretabilityInternational Conference on Machine Learning (ICML), 2019 Christian Etmann Sebastian Lunz Peter Maass Carola-Bibiane Schönlieb AAML FAtt 149 171 0 10 May 2019
Forest Representation Learning Guided by Margin Distribution S. Lv Liang Yang Zhi Zhou 75 0 0 07 May 2019
Adversarial Training with Voronoi Constraints Marc Khoury Dylan Hadfield-Menell AAML 132 24 0 02 May 2019
Logitron: Perceptron-augmented classification model based on an extended logistic loss function Hyenkyun Woo 66 2 0 05 Apr 2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss Nicholas Frosst Nicolas Papernot Geoffrey E. Hinton 153 178 0 05 Feb 2019
Robustness of Generalized Learning Vector Quantization Models against Adversarial AttacksWorkshop on Self-Organizing Maps (WSOM), 2019 S. Saralajew Lars Holdijk Maike Rees T. Villmann OOD 162 21 0 01 Feb 2019
Max-margin Class Imbalanced Learning with Gaussian Affinity Munawar Hayat Salman Khan Waqas Zamir Jianbing Shen Ling Shao 135 24 0 23 Jan 2019
Improving Generalization of Deep Neural Networks by Leveraging Margin Distribution Shen-Huan Lyu Lu Wang Zhi Zhou 159 13 0 27 Dec 2018
MMA Training: Direct Input Space Margin Maximization through Adversarial Training G. Ding Yash Sharma Kry Yik-Chau Lui Ruitong Huang AAML 284 295 0 06 Dec 2018
Limited Gradient Descent: Learning With Noisy LabelsIEEE Access (IEEE Access), 2018 Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 210 13 0 20 Nov 2018
On the Geometry of Adversarial Examples Marc Khoury Dylan Hadfield-Menell AAML 240 83 0 01 Nov 2018
Improved Network Robustness with Adversary Critic Alexander Matyasko Lap-Pui Chau AAML 89 14 0 30 Oct 2018
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications Huan Zhang Pengchuan Zhang Cho-Jui Hsieh AAML 132 66 0 28 Oct 2018
Provable Robustness of ReLU networks via Maximization of Linear Regions Francesco Croce Maksym Andriushchenko Matthias Hein 215 169 0 17 Oct 2018
Empirical Bounds on Linear Regions of Deep Rectifier Networks Thiago Serra Srikumar Ramalingam 288 43 0 08 Oct 2018
Predicting the Generalization Gap in Deep Networks with Margin Distributions Yiding Jiang Dilip Krishnan H. Mobahi Samy Bengio UQCV 282 213 0 28 Sep 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 148 7 0 19 Jun 2018