SPDY: Accurate Pruning with Speedup Guarantees

SPDY: Accurate Pruning with Speedup Guarantees

31 January 2022

Dan Alistarh

Papers citing "SPDY: Accurate Pruning with Speedup Guarantees"

8 / 8 papers shown

Title
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints Francesco Corti Balz Maag Joachim Schauer U. Pferschy O. Saukh 39 2 0 22 Nov 2023
A Simple and Effective Pruning Approach for Large Language Models Mingjie Sun Zhuang Liu Anna Bair J. Zico Kolter 87 361 0 20 Jun 2023
L-GreCo: Layerwise-Adaptive Gradient Compression for Efficient and Accurate Deep Learning Mohammadreza Alimohammadi I. Markov Elias Frantar Dan Alistarh 35 5 0 31 Oct 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning Elias Frantar Sidak Pal Singh Dan Alistarh MQ 28 218 0 24 Aug 2022
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 98 54 0 01 Oct 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks Itay Hubara Brian Chmiel Moshe Island Ron Banner S. Naor Daniel Soudry 59 111 0 16 Feb 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 147 685 0 31 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,599 0 17 Apr 2017