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A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of
  DNNs

A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs

3 November 2020
Souvik Kundu
M. Nazemi
Peter A. Beerel
Massoud Pedram
    AAML
ArXivPDFHTML

Papers citing "A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs"

7 / 7 papers shown
Title
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
Yuchen Yang
Shubham Ugare
Yifan Zhao
Gagandeep Singh
Sasa Misailovic
MQ
65
0
0
31 Oct 2024
Sparse Networks from Scratch: Faster Training without Losing Performance
Sparse Networks from Scratch: Faster Training without Losing Performance
Tim Dettmers
Luke Zettlemoyer
86
337
0
10 Jul 2019
Model Compression with Adversarial Robustness: A Unified Optimization
  Framework
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui
Haotao Wang
Chen Yu
Haichuan Yang
Zhangyang Wang
Ji Liu
MQ
39
137
0
10 Feb 2019
SNIP: Single-shot Network Pruning based on Connection Sensitivity
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
209
1,190
0
04 Oct 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
67
1,348
0
10 Feb 2018
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
189
2,519
0
19 Jul 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
168
8,513
0
16 Aug 2016
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