Robustness and Generalization

13 May 2010

Papers citing "Robustness and Generalization"

37 / 87 papers shown

Title
Information-Theoretic Local Minima Characterization and Regularization Zhiwei Jia Hao Su 27 19 0 19 Nov 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 21 32 0 14 Nov 2019
Partial differential equation regularization for supervised machine learning Jillian R. Fisher 32 2 0 03 Oct 2019
Deep Model Reference Adaptive Control Girish Joshi Girish Chowdhary BDL AI4CE 21 58 0 18 Sep 2019
Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks Tao Luo Zhi-Qin John Xu Yaoyu Zhang Zheng Ma MLT AI4CE 39 38 0 24 May 2019
Orthogonal Deep Neural Networks Kui Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 39 132 0 15 May 2019
Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler Yonathan Efroni Shie Mannor 30 230 0 26 Jan 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks Zhi-Qin John Xu Tao Luo Yaoyu Zhang Yan Xiao Zheng Ma 40 504 0 19 Jan 2019
A review of domain adaptation without target labels Wouter M. Kouw Marco Loog OOD VLM 15 478 0 16 Jan 2019
Generalization in Deep Networks: The Role of Distance from Initialization Vaishnavh Nagarajan J. Zico Kolter ODL 15 95 0 07 Jan 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach Zhuozhuo Tu Jingwei Zhang Dacheng Tao AAML 21 68 0 13 Nov 2018
An Optimal Transport View on Generalization Jingwei Zhang Yian Chen Yi-Hsuan Yang 24 7 0 08 Nov 2018
Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications Deren Lei Zichen Sun Yijun Xiao William Yang Wang 41 14 0 01 Nov 2018
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 32 109 0 03 Aug 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 30 135 0 20 Jun 2018
Understanding Generalization and Optimization Performance of Deep CNNs Pan Zhou Jiashi Feng MLT 33 48 0 28 May 2018
Deep learning generalizes because the parameter-function map is biased towards simple functions Guillermo Valle Pérez Chico Q. Camargo A. Louis MLT AI4CE 18 226 0 22 May 2018
A Multilayer Framework for Online Metric Learning Wenbin Li Yanfang Liu Jing Huo Yinghuan Shi Yang Gao Lei Wang Jiebo Luo 24 1 0 15 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 40 786 0 30 Apr 2018
An Information-Theoretic View for Deep Learning Jingwei Zhang Tongliang Liu Dacheng Tao MLT FAtt 21 25 0 24 Apr 2018
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle Rana Ali Amjad Bernhard C. Geiger 35 196 0 27 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 38 109 0 23 Feb 2018
L2-Nonexpansive Neural Networks Haifeng Qian M. Wegman 25 74 0 22 Feb 2018
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data Alon Brutzkus Amir Globerson Eran Malach Shai Shalev-Shwartz MLT 50 277 0 27 Oct 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 110 1,239 0 27 Jun 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 86 798 0 28 Apr 2017
Generalization Error of Invariant Classifiers Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 21 77 0 14 Oct 2016
Robust Large Margin Deep Neural Networks Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 26 307 0 26 May 2016
Measuring Neural Net Robustness with Constraints Osbert Bastani Yani Andrew Ioannou Leonidas Lampropoulos Dimitrios Vytiniotis A. Nori A. Criminisi AAML 22 422 0 24 May 2016
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms Tom Zahavy Bingyi Kang Alex Sivak Jiashi Feng Huan Xu Shie Mannor OOD AAML 39 12 0 07 Feb 2016
Geometry-aware Deep Transform Jiaji Huang Qiang Qiu Robert Calderbank Guillermo Sapiro AAML OOD 21 9 0 17 Sep 2015
Linear Maximum Margin Classifier for Learning from Uncertain Data Christos Tzelepis Vasileios Mezaris Ioannis Patras 18 41 0 15 Apr 2015
Sparse Compositional Metric Learning Yuan Shi A. Bellet Fei Sha 29 91 0 15 Apr 2014
Supervised Metric Learning with Generalization Guarantees A. Bellet 59 10 0 17 Jul 2013
A Survey on Metric Learning for Feature Vectors and Structured Data A. Bellet Amaury Habrard M. Sebban 53 680 0 28 Jun 2013
Robustness and Generalization for Metric Learning A. Bellet Amaury Habrard 42 100 0 05 Sep 2012
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 793 0 19 Feb 2009