Deep Equals Shallow for ReLU Networks in Kernel Regimes

30 September 2020

Papers citing "Deep Equals Shallow for ReLU Networks in Kernel Regimes"

19 / 69 papers shown

Title
On the Provable Generalization of Recurrent Neural Networks Lifu Wang Bo Shen Bo Hu Xing Cao 31 8 0 29 Sep 2021
Uniform Generalization Bounds for Overparameterized Neural Networks Sattar Vakili Michael Bromberg Jezabel R. Garcia Da-shan Shiu A. Bernacchia 17 19 0 13 Sep 2021
The staircase property: How hierarchical structure can guide deep learning Emmanuel Abbe Enric Boix-Adserà Matthew Brennan Guy Bresler Dheeraj M. Nagaraj 14 48 0 24 Aug 2021
A spectral-based analysis of the separation between two-layer neural networks and linear methods Lei Wu Jihao Long 16 8 0 10 Aug 2021
Deep Networks Provably Classify Data on Curves Tingran Wang Sam Buchanan D. Gilboa John N. Wright 23 9 0 29 Jul 2021
Neural Contextual Bandits without Regret Parnian Kassraie Andreas Krause OffRL 15 38 0 07 Jul 2021
On the Sample Complexity of Learning under Invariance and Geometric Stability A. Bietti Luca Venturi Joan Bruna 27 5 0 14 Jun 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 29 26 0 10 Jun 2021
Reverse Engineering the Neural Tangent Kernel James B. Simon Sajant Anand M. DeWeese 22 9 0 06 Jun 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes Vincent Dutordoir J. Hensman Mark van der Wilk Carl Henrik Ek Zoubin Ghahramani N. Durrande BDL UQCV 8 30 0 10 May 2021
Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks Yuval Belfer Amnon Geifman Meirav Galun Ronen Basri 10 17 0 07 Apr 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 46 89 0 25 Feb 2021
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective A. Bietti 27 29 0 19 Feb 2021
Kernel-Based Smoothness Analysis of Residual Networks Tom Tirer Joan Bruna Raja Giryes 16 18 0 21 Sep 2020
Revisiting minimum description length complexity in overparameterized models Raaz Dwivedi Chandan Singh Bin Yu Martin J. Wainwright 6 4 0 17 Jun 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 34 172 0 23 Apr 2020
Exact Convergence Rates of the Neural Tangent Kernel in the Large Depth Limit Soufiane Hayou Arnaud Doucet Judith Rousseau 11 4 0 31 May 2019
Benefits of depth in neural networks Matus Telgarsky 133 602 0 14 Feb 2016
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 80 277 0 09 Aug 2012