DeepHoyer: Learning Sparser Neural Network with Differentiable
Scale-Invariant Sparsity Measures

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures

27 August 2019

Huanrui Yang

Papers citing "DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures"

6 / 6 papers shown

Title
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
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration Mike Heddes Narayan Srinivasa T. Givargis Alexandru Nicolau 91 0 0 12 Jan 2024
A Tensor-based Convolutional Neural Network for Small Dataset Classification Zhenhua Chen David J. Crandall 22 0 0 29 Mar 2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions Kaiqi Zhao Animesh Jain Ming Zhao 19 9 0 14 Mar 2023
How Well Do Sparse Imagenet Models Transfer? Eugenia Iofinova Alexandra Peste Mark Kurtz Dan Alistarh 19 38 0 26 Nov 2021
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics S. Yun Alexander Wong MQ 19 25 0 24 Apr 2021