Full deep neural network training on a pruned weight budget

11 June 2018

Papers citing "Full deep neural network training on a pruned weight budget"

7 / 7 papers shown

Title
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models D. Honegger Konstantin Schurholt Damian Borth 31 4 0 26 Apr 2023
Competitive plasticity to reduce the energetic costs of learning Mark C. W. van Rossum 13 2 0 04 Apr 2023
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 40 0 0 28 Jul 2021
Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training Dingqing Yang Amin Ghasemazar X. Ren Maximilian Golub G. Lemieux Mieszko Lis 6 48 0 23 Sep 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 24 52 0 08 May 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 34 73 0 07 Jan 2020
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017