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"

6 / 6 papers shown

Title
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints Francesco Corti Balz Maag Joachim Schauer U. Pferschy O. Saukh 29 2 0 22 Nov 2023
A Simple and Effective Pruning Approach for Large Language Models Mingjie Sun Zhuang Liu Anna Bair J. Zico Kolter 62 355 0 20 Jun 2023
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 90 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 50 110 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 141 684 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 20,567 0 17 Apr 2017