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TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch
  Models

TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models

24 May 2022
A. Engel
Zhichao Wang
Anand D. Sarwate
Sutanay Choudhury
Tony Chiang
ArXivPDFHTML

Papers citing "TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models"

3 / 3 papers shown
Title
Train Faster, Perform Better: Modular Adaptive Training in
  Over-Parameterized Models
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Yubin Shi
Yixuan Chen
Mingzhi Dong
Xiaochen Yang
Dongsheng Li
...
Yingying Zhao
Fan Yang
Tun Lu
Ning Gu
L. Shang
MoMe
46
4
0
13 May 2024
Characterizing the Spectrum of the NTK via a Power Series Expansion
Characterizing the Spectrum of the NTK via a Power Series Expansion
Michael Murray
Hui Jin
Benjamin Bowman
Guido Montúfar
38
11
0
15 Nov 2022
Understanding Layer-wise Contributions in Deep Neural Networks through
  Spectral Analysis
Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis
Yatin Dandi
Arthur Jacot
FAtt
23
4
0
06 Nov 2021
1