Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity
Allocation with Global Constraint in Minutes

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

9 May 2024

Jinyang Guo

Papers citing "Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes"

6 / 6 papers shown

Title
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning Nikolaos Kaparinos Vasileios Mezaris CVBM 48 0 0 28 Jan 2025
PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Zining Wnag J. Guo Ruihao Gong Yang Yong Aishan Liu Yushi Huang Jiaheng Liu X. Liu 71 1 0 10 Dec 2024
CP $^3$ : Channel Pruning Plug-in for Point-based Networks Yaomin Huang Ning Liu Zhengping Che Zhiyuan Xu Chaomin Shen Yaxin Peng Guixu Zhang Xinmei Liu Feifei Feng Jian Tang 3DPC 31 14 0 23 Mar 2023
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark Yuhang Li Mingzhu Shen Jian Ma Yan Ren Mingxin Zhao Qi Zhang Ruihao Gong F. Yu Junjie Yan MQ 35 49 0 05 Nov 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 139 684 0 31 Jan 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014