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Structured Model Pruning for Efficient Inference in Computational
  Pathology

Structured Model Pruning for Efficient Inference in Computational Pathology

12 April 2024
Mohammed Adnan
Qinle Ba
Nazim Shaikh
Shivam Kalra
Satarupa Mukherjee
A. Lorsakul
    MedIm
ArXivPDFHTML

Papers citing "Structured Model Pruning for Efficient Inference in Computational Pathology"

4 / 4 papers shown
Title
Resolution-Based Distillation for Efficient Histology Image
  Classification
Resolution-Based Distillation for Efficient Histology Image Classification
Joseph DiPalma
A. Suriawinata
L. Tafe
Lorenzo Torresani
Saeed Hassanpour
16
34
0
11 Jan 2021
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
X. Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian-jun Sun
117
1,484
0
11 Jan 2021
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
175
1,018
0
06 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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