RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks

31 May 2021

Papers citing "RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks"

5 / 5 papers shown

Title
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models Seungcheol Park Ho-Jin Choi U. Kang VLM 25 5 0 07 Aug 2023
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Muhammad Shafique K. Pekmestzi Dimitrios Soudris 29 3 0 20 Jul 2023
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 40 9 0 08 Jul 2022
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 41 166 0 21 Oct 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 222 382 0 05 Mar 2020