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Very Efficient Training of Convolutional Neural Networks using Fast
  Fourier Transform and Overlap-and-Add

Very Efficient Training of Convolutional Neural Networks using Fast Fourier Transform and Overlap-and-Add

25 January 2016
Tyler Highlander
Andres Rodriguez
ArXivPDFHTML

Papers citing "Very Efficient Training of Convolutional Neural Networks using Fast Fourier Transform and Overlap-and-Add"

6 / 6 papers shown
Title
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier
  Layers
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers
Nurullah Sevim
Ege Ozan Özyedek
Furkan Şahinuç
Aykut Koç
40
11
0
26 Sep 2022
FourierNet: Shape-Preserving Network for Henle's Fiber Layer
  Segmentation in Optical Coherence Tomography Images
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images
Selahattin Cansiz
Cem Kesim
Sevval Nur Bektas
Zeynep Kulali
M. Hasanreisoğlu
C. Gunduz-Demir
33
9
0
17 Jan 2022
FNet: Mixing Tokens with Fourier Transforms
FNet: Mixing Tokens with Fourier Transforms
James Lee-Thorp
Joshua Ainslie
Ilya Eckstein
Santiago Ontanon
47
520
0
09 May 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
36
79
0
17 Sep 2020
Malicious Network Traffic Detection via Deep Learning: An Information
  Theoretic View
Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View
Erick Galinkin
AAML
15
0
0
16 Sep 2020
Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs
Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs
Xiaoming Chen
Jianxu Chen
Danny Chen
X. S. Hu
24
10
0
29 May 2017
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