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Spectrally-normalized margin bounds for neural networks

26 June 2017

Papers citing "Spectrally-normalized margin bounds for neural networks"

50 / 811 papers shown

Title
Adversarial Risk Bounds for Neural Networks through Sparsity based Compression E. Balda Arash Behboodi Niklas Koep R. Mathar AAML 77 8 0 03 Jun 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 94 382 0 01 Jun 2019
PAC-Bayesian Transportation Bound Kohei Miyaguchi 81 5 0 31 May 2019
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience Vaishnavh Nagarajan J. Zico Kolter 102 101 0 30 May 2019
What Can Neural Networks Reason About? Keyulu Xu Jingling Li Mozhi Zhang S. Du Ken-ichi Kawarabayashi Stefanie Jegelka NAI AI4CE 106 248 0 30 May 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks Yuan Cao Quanquan Gu MLT AI4CE 125 392 0 30 May 2019
MaxiMin Active Learning in Overparameterized Model Classes} Mina Karzand Robert D. Nowak 51 20 0 29 May 2019
Generalization bounds for deep convolutional neural networks Philip M. Long Hanie Sedghi MLT 136 90 0 29 May 2019
Norm-based generalisation bounds for multi-class convolutional neural networks Antoine Ledent Waleed Mustafa Yunwen Lei Marius Kloft 66 5 0 29 May 2019
Implicit Rugosity Regularization via Data Augmentation Daniel LeJeune Randall Balestriero Hamid Javadi Richard G. Baraniuk 61 4 0 28 May 2019
SGD on Neural Networks Learns Functions of Increasing Complexity Preetum Nakkiran Gal Kaplun Dimitris Kalimeris Tristan Yang Benjamin L. Edelman Fred Zhang Boaz Barak MLT 142 248 0 28 May 2019
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness Pengzhan Jin Lu Lu Yifa Tang George Karniadakis 65 60 0 27 May 2019
Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks Guodong Zhang James Martens Roger C. Grosse ODL 113 126 0 27 May 2019
Nonparametric Online Learning Using Lipschitz Regularized Deep Neural Networks Guy Uziel BDL 51 0 0 26 May 2019
Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks Yaoyu Zhang Zhi-Qin John Xu Yaoyu Zhang Zheng Ma MLT AI4CE 130 38 0 24 May 2019
Gradient Descent can Learn Less Over-parameterized Two-layer Neural Networks on Classification Problems Atsushi Nitanda Geoffrey Chinot Taiji Suzuki MLT 105 34 0 23 May 2019
How degenerate is the parametrization of neural networks with the ReLU activation function? Julius Berner Dennis Elbrächter Philipp Grohs ODL 93 28 0 23 May 2019
The role of invariance in spectral complexity-based generalization bounds Konstantinos Pitas Andreas Loukas Mike Davies P. Vandergheynst BDL 26 1 0 23 May 2019
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces Yanwei Fu Chen Liu Donghao Li Zuyuan Zhong Xinwei Sun Jinshan Zeng Yuan Yao 46 10 0 23 May 2019
Fine-grained Optimization of Deep Neural Networks Mete Ozay ODL 57 2 0 22 May 2019
Revisiting hard thresholding for DNN pruning Konstantinos Pitas Mike Davies P. Vandergheynst AAML 52 2 0 21 May 2019
Orthogonal Deep Neural Networks Kui Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 99 134 0 15 May 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers Ernest K. Ryu Jialin Liu Sicheng Wang Xiaohan Chen Zhangyang Wang W. Yin AI4CE 89 354 0 14 May 2019
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study Daniel S. Park Jascha Narain Sohl-Dickstein Quoc V. Le Samuel L. Smith 96 57 0 09 May 2019
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation Colin Wei Tengyu Ma 85 110 0 09 May 2019
Defensive Quantization: When Efficiency Meets Robustness Ji Lin Chuang Gan Song Han MQ 101 204 0 17 Apr 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks David J. Miller Zhen Xiang G. Kesidis AAML 74 35 0 12 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 206 135 0 10 Apr 2019
Fast Spatio-Temporal Residual Network for Video Super-Resolution Sheng Li Fengxiang He Bo Du Lefei Zhang Yonghao Xu Dacheng Tao SupR 87 134 0 05 Apr 2019
Why ResNet Works? Residuals Generalize Fengxiang He Tongliang Liu Dacheng Tao 67 253 0 02 Apr 2019
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks Mingchen Li Mahdi Soltanolkotabi Samet Oymak NoLa 140 355 0 27 Mar 2019
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability Andrew J. Taylor Victor D. Dorobantu M. Krishnamoorthy Hoang Minh Le Yisong Yue Aaron D. Ames 32 13 0 18 Mar 2019
Theory III: Dynamics and Generalization in Deep Networks Andrzej Banburski Q. Liao Brando Miranda Lorenzo Rosasco Fernanda De La Torre Jack Hidary T. Poggio AI4CE 74 3 0 12 Mar 2019
Limiting Network Size within Finite Bounds for Optimization Linu Pinto Sasi Gopalan 41 2 0 07 Mar 2019
A Priori Estimates of the Population Risk for Residual Networks E. Weinan Chao Ma Qingcan Wang UQCV 103 61 0 06 Mar 2019
Implicit Regularization in Over-parameterized Neural Networks M. Kubo Ryotaro Banno Hidetaka Manabe Masataka Minoji 78 23 0 05 Mar 2019
Statistical Guarantees for the Robustness of Bayesian Neural Networks L. Cardelli Marta Kwiatkowska Luca Laurenti Nicola Paoletti A. Patané Matthew Wicker AAML 89 54 0 05 Mar 2019
Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors N. Benjamin Erichson L. Mathelin Z. Yao Steven L. Brunton Michael W. Mahoney J. Nathan Kutz AI4CE 61 34 0 20 Feb 2019
Uniform convergence may be unable to explain generalization in deep learning Vaishnavh Nagarajan J. Zico Kolter MoMe AI4CE 98 317 0 13 Feb 2019
Identity Crisis: Memorization and Generalization under Extreme Overparameterization Chiyuan Zhang Samy Bengio Moritz Hardt Michael C. Mozer Y. Singer 60 90 0 13 Feb 2019
Towards moderate overparameterization: global convergence guarantees for training shallow neural networks Samet Oymak Mahdi Soltanolkotabi 75 323 0 12 Feb 2019
Are All Layers Created Equal? Chiyuan Zhang Samy Bengio Y. Singer 111 140 0 06 Feb 2019
Generalization Bounds For Unsupervised and Semi-Supervised Learning With Autoencoders Baruch Epstein Ron Meir SSL DRL AI4CE 33 17 0 04 Feb 2019
Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks Yuan Cao Quanquan Gu ODL MLT AI4CE 151 158 0 04 Feb 2019
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity Yingzhen Yang Jiahui Yu Xingjian Li Jun Huan Thomas S. Huang AI4CE 52 6 0 03 Feb 2019
Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation Andrew R. Barron Jason M. Klusowski 108 30 0 02 Feb 2019
Asymmetric Valleys: Beyond Sharp and Flat Local Minima Haowei He Gao Huang Yang Yuan ODL MLT 84 150 0 02 Feb 2019
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning Jian Li Xuanyuan Luo Mingda Qiao 73 89 0 02 Feb 2019
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise Mayank Sharma Aayush Yadav Sumit Soman Jayadeva Jayadeva 25 1 0 31 Jan 2019
Deep Learning for Inverse Problems: Bounds and Regularizers Jaweria Amjad Zhaoyang Lyu M. Rodrigues 38 4 0 31 Jan 2019