Only Train Once: A One-Shot Neural Network Training And Pruning
Framework

Only Train Once: A One-Shot Neural Network Training And Pruning Framework

15 July 2021

Tianyi Chen

Papers citing "Only Train Once: A One-Shot Neural Network Training And Pruning Framework"

15 / 15 papers shown

Title
Information Consistent Pruning: How to Efficiently Search for Sparse Networks? Soheil Gharatappeh S. Y. Sekeh 54 0 0 28 Jan 2025
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning Tianyi Chen Xiaoyi Qu David Aponte Colby R. Banbury Jongwoo Ko Tianyu Ding Yong Ma Vladimir Lyapunov Ilya Zharkov Luming Liang 77 1 0 11 Sep 2024
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition Xitong Zhang Ismail R. Alkhouri Rongrong Wang 35 0 0 06 May 2024
ONNXPruner: ONNX-Based General Model Pruning Adapter Dongdong Ren Wenbin Li Tianyu Ding Lei Wang Qi Fan Jing Huo Hongbing Pan Yang Gao 31 3 0 10 Apr 2024
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition Samuel Horváth Stefanos Laskaridis Shashank Rajput Hongyi Wang BDL 32 4 0 28 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
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann 16 30 0 01 Nov 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 40 9 0 08 Jul 2022
Deep Neural Networks pruning via the Structured Perspective Regularization M. Cacciola A. Frangioni Xinlin Li Andrea Lodi 3DPC 28 5 0 28 Jun 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 36 48 0 09 Mar 2022
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 44 166 0 21 Oct 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 126 189 0 19 Mar 2020
Highly Efficient Salient Object Detection with 100K Parameters Shanghua Gao Yong-qiang Tan Ming-Ming Cheng Chengze Lu Yunpeng Chen Shuicheng Yan 231 168 0 12 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 383 0 05 Mar 2020
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 84 736 0 19 Mar 2014