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A Fast, Well-Founded Approximation to the Empirical Neural Tangent
  Kernel

A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel

25 June 2022
Mohamad Amin Mohamadi
Wonho Bae
Danica J. Sutherland
    AAML
ArXivPDFHTML

Papers citing "A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel"

3 / 3 papers shown
Title
STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation
STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation
Alireza Morsali
MohammadJavad Vaez
Hossein Soltani
A. Kazerouni
Babak Taati
Morteza Mohammad-Noori
82
1
0
02 Feb 2025
Deep Active Learning by Leveraging Training Dynamics
Deep Active Learning by Leveraging Training Dynamics
Haonan Wang
Wei Huang
Ziwei Wu
A. Margenot
Hanghang Tong
Jingrui He
AI4CE
25
31
0
16 Oct 2021
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
347
0
14 Jun 2018
1