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Kernel-Based Smoothness Analysis of Residual Networks

21 September 2020

Tom Tirer

Joan Bruna

Raja Giryes

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Papers citing "Kernel-Based Smoothness Analysis of Residual Networks"

32 / 32 papers shown

Title
Deep Equals Shallow for ReLU Networks in Kernel Regimes A. Bietti Francis R. Bach 90 90 0 30 Sep 2020
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS Lin Chen Sheng Xu 166 94 0 22 Sep 2020
On the Similarity between the Laplace and Neural Tangent Kernels Amnon Geifman A. Yadav Yoni Kasten Meirav Galun David Jacobs Ronen Basri 130 96 0 03 Jul 2020
Tensor Programs II: Neural Tangent Kernel for Any Architecture Greg Yang 114 139 0 25 Jun 2020
Infinite attention: NNGP and NTK for deep attention networks Jiri Hron Yasaman Bahri Jascha Narain Sohl-Dickstein Roman Novak 57 116 0 18 Jun 2020
The Recurrent Neural Tangent Kernel Sina Alemohammad Zichao Wang Randall Balestriero Richard Baraniuk AAML 70 78 0 18 Jun 2020
A function space analysis of finite neural networks with insights from sampling theory Raja Giryes 56 6 0 15 Apr 2020
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? -- A Neural Tangent Kernel Perspective Kaixuan Huang Yuqing Wang Molei Tao T. Zhao MLT 55 98 0 14 Feb 2020
On Random Kernels of Residual Architectures Etai Littwin Tomer Galanti Lior Wolf 57 4 0 28 Jan 2020
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families Yibo Yang Jianlong Wu Hongyang Li Xia Li Tiancheng Shen Zhouchen Lin OOD 63 21 0 23 Nov 2019
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes Greg Yang 141 201 0 28 Oct 2019
Finite Depth and Width Corrections to the Neural Tangent Kernel Boris Hanin Mihai Nica MDE 79 152 0 13 Sep 2019
Gradient Dynamics of Shallow Univariate ReLU Networks Francis Williams Matthew Trager Claudio Silva Daniele Panozzo Denis Zorin Joan Bruna 64 80 0 18 Jun 2019
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies Ronen Basri David Jacobs Yoni Kasten S. Kritchman 84 218 0 02 Jun 2019
On the Inductive Bias of Neural Tangent Kernels A. Bietti Julien Mairal 98 260 0 29 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 172 18,193 0 28 May 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 243 928 0 26 Apr 2019
Towards Robust ResNet: A Small Step but A Giant Leap Jingfeng Zhang Bo Han L. Wynter K. H. Low Mohan Kankanhalli 93 41 0 28 Feb 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent Jaehoon Lee Lechao Xiao S. Schoenholz Yasaman Bahri Roman Novak Jascha Narain Sohl-Dickstein Jeffrey Pennington 213 1,110 0 18 Feb 2019
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation Greg Yang 176 289 0 13 Feb 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruosong Wang MLT 223 974 0 24 Jan 2019
On Lazy Training in Differentiable Programming Lénaïc Chizat Edouard Oyallon Francis R. Bach 111 840 0 19 Dec 2018
Gradient Descent Finds Global Minima of Deep Neural Networks S. Du Jason D. Lee Haochuan Li Liwei Wang Masayoshi Tomizuka ODL 229 1,136 0 09 Nov 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 275 3,223 0 20 Jun 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 266 1,901 0 28 Dec 2017
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 137 1,100 0 01 Nov 2017
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space Alec Koppel Garrett A. Warnell Ethan Stump Alejandro Ribeiro 53 79 0 13 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 831 36,892 0 25 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 97 130 0 06 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014