RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting
and Output Merging

RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging

30 September 2021

Papers citing "RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging"

15 / 15 papers shown

Title
Training-Free Restoration of Pruned Neural Networks Keonho Lee Minsoo Kim Dong-Wan Choi 54 0 0 06 Feb 2025
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision Xiangzhong Luo Di Liu Hao Kong Shuo Huai Hui Chen Guochu Xiong Weichen Liu 31 2 0 03 Nov 2024
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models Peijie Dong Lujun Li Zhenheng Tang Xiang Liu Xinglin Pan Qiang-qiang Wang Xiaowen Chu 60 23 0 05 Jun 2024
STAT: Shrinking Transformers After Training Megan Flynn Alexander Wang Dean Edward Alvarez Christopher De Sa Anil Damle 36 2 0 29 May 2024
Optimizing Convolutional Neural Network Architecture Luis Balderas Miguel Lastra José M. Benítez CVBM 20 4 0 17 Dec 2023
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks Rémi Ouazan Reboul Edouard Yvinec Arnaud Dapogny Kévin Bailly 15 0 0 17 Nov 2023
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings Vittorio Giammarino Arnaud Dapogny Kévin Bailly MQ 22 1 0 29 Sep 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 37 3 0 20 Jul 2023
Designing strong baselines for ternary neural network quantization through support and mass equalization Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 25 0 0 30 Jun 2023
LLM-Pruner: On the Structural Pruning of Large Language Models Xinyin Ma Gongfan Fang Xinchao Wang 30 364 0 19 May 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 30 117 0 01 Mar 2023
Matching DNN Compression and Cooperative Training with Resources and Data Availability F. Malandrino G. Giacomo Armin Karamzade Marco Levorato C. Chiasserini 37 9 0 02 Dec 2022
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 50 166 0 21 Oct 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 383 0 05 Mar 2020