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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
Lipschitz Bounded Equilibrium Networks Max Revay Ruigang Wang I. Manchester 62 76 0 05 Oct 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 176 272 0 27 Sep 2020
Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois Douwe Kiela D. Schwab Ramakrishna Vedantam 115 43 0 27 Sep 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization P. Gyawali S. Ghimire Linwei Wang AAML 57 7 0 23 Sep 2020
Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms Zhong Li Chao Ma Lei Wu 63 24 0 14 Sep 2020
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks Thomas Fel David Vigouroux Rémi Cadène Thomas Serre XAI FAtt 75 31 0 07 Sep 2020
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements Zinan Lin Vyas Sekar Giulia Fanti 52 51 0 06 Sep 2020
Extreme Memorization via Scale of Initialization Harsh Mehta Ashok Cutkosky Behnam Neyshabur 60 20 0 31 Aug 2020
What is being transferred in transfer learning? Behnam Neyshabur Hanie Sedghi Chiyuan Zhang 143 530 0 26 Aug 2020
Analytical bounds on the local Lipschitz constants of affine-ReLU functions Trevor Avant K. Morgansen 59 5 0 14 Aug 2020
Neural Complexity Measures Yoonho Lee Juho Lee Sung Ju Hwang Eunho Yang Seungjin Choi 85 9 0 07 Aug 2020
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression Jun Qi Jun Du Sabato Marco Siniscalchi Xiaoli Ma Chin-Hui Lee 111 42 0 04 Aug 2020
Making Coherence Out of Nothing At All: Measuring the Evolution of Gradient Alignment S. Chatterjee Piotr Zielinski 54 8 0 03 Aug 2020
Implicit Regularization via Neural Feature Alignment A. Baratin Thomas George César Laurent R. Devon Hjelm Guillaume Lajoie Pascal Vincent Simon Lacoste-Julien 59 6 0 03 Aug 2020
Generalization Comparison of Deep Neural Networks via Output Sensitivity Mahsa Forouzesh Farnood Salehi Patrick Thiran 44 8 0 30 Jul 2020
Interpretabilité des modèles : état des lieux des méthodes et application à lássurance Dimitri Delcaillau A. Ly Franck Vermet Alizé Papp 39 1 0 25 Jul 2020
Hierarchical Verification for Adversarial Robustness Cong Han Lim R. Urtasun Ersin Yumer AAML 36 5 0 23 Jul 2020
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms Fengxiang He Bohan Wang Dacheng Tao FedML 55 18 0 18 Jul 2020
From deep to Shallow: Equivalent Forms of Deep Networks in Reproducing Kernel Krein Space and Indefinite Support Vector Machines A. Shilton Sunil Gupta Santu Rana Svetha Venkatesh 31 0 0 15 Jul 2020
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics Taiji Suzuki 63 21 0 11 Jul 2020
Boundary thickness and robustness in learning models Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 72 42 0 09 Jul 2020
Robust Learning with Frequency Domain Regularization Weiyu Guo Yidong Ouyang AAML 34 2 0 07 Jul 2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths Yanwei Fu Chen Liu Donghao Li Xinwei Sun Jinshan Zeng Yuan Yao 34 9 0 04 Jul 2020
Self-supervised Neural Architecture Search Sapir Kaplan Raja Giryes SSL 67 12 0 03 Jul 2020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks Fabian Latorre Paul Rolland Nadav Hallak Volkan Cevher AAML 65 4 0 02 Jul 2020
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks Kyungsu Kim A. Lozano Eunho Yang AAML 83 0 0 02 Jul 2020
Information Theoretic Lower Bounds for Feed-Forward Fully-Connected Deep Networks Xiaochen Yang Jean Honorio 134 0 0 01 Jul 2020
The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration Alex Goessmann Gitta Kutyniok 28 3 0 01 Jul 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization Sang Michael Xie Tengyu Ma Percy Liang 121 15 0 29 Jun 2020
Is SGD a Bayesian sampler? Well, almost Chris Mingard Guillermo Valle Pérez Joar Skalse A. Louis BDL 77 53 0 26 Jun 2020
Relative Deviation Margin Bounds Corinna Cortes M. Mohri A. Suresh 84 14 0 26 Jun 2020
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks Wei Hu Lechao Xiao Ben Adlam Jeffrey Pennington 72 63 0 25 Jun 2020
Understanding Deep Architectures with Reasoning Layer Xinshi Chen Yufei Zhang C. Reisinger Le Song AI4CE 127 7 0 24 Jun 2020
Gradient descent follows the regularization path for general losses Ziwei Ji Miroslav Dudík Robert Schapire Matus Telgarsky AI4CE FaML 167 62 0 19 Jun 2020
Model-Aware Regularization For Learning Approaches To Inverse Problems Jaweria Amjad Zhaoyang Lyu M. Rodrigues MedIm 18 0 0 18 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels? Hartmut Maennel Ibrahim Alabdulmohsin Ilya O. Tolstikhin R. Baldock Olivier Bousquet Sylvain Gelly Daniel Keysers FedML 165 90 0 18 Jun 2020
Revisiting minimum description length complexity in overparameterized models Raaz Dwivedi Chandan Singh Bin Yu Martin J. Wainwright 53 5 0 17 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 98 167 0 16 Jun 2020
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory Alexandre Araujo Benjamin Négrevergne Y. Chevaleyre Jamal Atif 42 0 0 15 Jun 2020
Markov-Lipschitz Deep Learning Stan Z. Li Zelin Zhang Lirong Wu 75 16 0 15 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 76 364 0 13 Jun 2020
Minimax Estimation of Conditional Moment Models Nishanth Dikkala Greg Lewis Lester W. Mackey Vasilis Syrgkanis 210 103 0 12 Jun 2020
Asymptotic Singular Value Distribution of Linear Convolutional Layers Xinping Yi 28 3 0 12 Jun 2020
Tangent Space Sensitivity and Distribution of Linear Regions in ReLU Networks Balint Daroczy AAML 10 0 0 11 Jun 2020
Directional convergence and alignment in deep learning Ziwei Ji Matus Telgarsky 70 171 0 11 Jun 2020
Towards Certified Robustness of Distance Metric Learning Xiaochen Yang Yiwen Guo Mingzhi Dong Jing-Hao Xue OOD 52 0 0 10 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 96 30 0 10 Jun 2020
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing Vishaal Krishnan Abed AlRahman Al Makdah Fabio Pasqualetti OOD AAML 66 23 0 05 Jun 2020
Network size and weights size for memorization with two-layers neural networks Sébastien Bubeck Ronen Eldan Y. Lee Dan Mikulincer 85 33 0 04 Jun 2020
Neural Networks with Small Weights and Depth-Separation Barriers Gal Vardi Ohad Shamir 86 18 0 31 May 2020