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The Recurrent Neural Tangent Kernel

The Recurrent Neural Tangent Kernel

18 June 2020
Sina Alemohammad
Zichao Wang
Randall Balestriero
Richard Baraniuk
    AAML
ArXivPDFHTML

Papers citing "The Recurrent Neural Tangent Kernel"

12 / 12 papers shown
Title
Issues with Neural Tangent Kernel Approach to Neural Networks
Issues with Neural Tangent Kernel Approach to Neural Networks
Haoran Liu
Anthony S. Tai
David J. Crandall
Chunfeng Huang
68
0
0
19 Jan 2025
Tensor Programs II: Neural Tangent Kernel for Any Architecture
Tensor Programs II: Neural Tangent Kernel for Any Architecture
Greg Yang
99
136
0
25 Jun 2020
Why Do Deep Residual Networks Generalize Better than Deep Feedforward
  Networks? -- A Neural Tangent Kernel Perspective
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
43
97
0
14 Feb 2020
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Sanjeev Arora
S. Du
Zhiyuan Li
Ruslan Salakhutdinov
Ruosong Wang
Dingli Yu
AAML
50
162
0
03 Oct 2019
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian
  Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Greg Yang
92
286
0
13 Feb 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
174
1,628
0
28 Dec 2018
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU
  Networks
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou
Yuan Cao
Dongruo Zhou
Quanquan Gu
ODL
133
448
0
21 Nov 2018
Learning and Generalization in Overparameterized Neural Networks, Going
  Beyond Two Layers
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu
Yuanzhi Li
Yingyu Liang
MLT
134
769
0
12 Nov 2018
The UCR Time Series Archive
The UCR Time Series Archive
Hoang Anh Dau
A. Bagnall
Kaveh Kamgar
Chin-Chia Michael Yeh
Yan Zhu
Shaghayegh Gharghabi
C. Ratanamahatana
Eamonn Keogh
38
819
0
17 Oct 2018
Recurrent Orthogonal Networks and Long-Memory Tasks
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff
Arthur Szlam
Yann LeCun
44
131
0
22 Feb 2016
Unitary Evolution Recurrent Neural Networks
Unitary Evolution Recurrent Neural Networks
Martín Arjovsky
Amar Shah
Yoshua Bengio
ODL
41
769
0
20 Nov 2015
Avoiding pathologies in very deep networks
Avoiding pathologies in very deep networks
David Duvenaud
Oren Rippel
Ryan P. Adams
Zoubin Ghahramani
ODL
BDL
82
158
0
24 Feb 2014
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