Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training

9 April 2020

Papers citing "Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training"

6 / 6 papers shown

Title
Sparse is Enough in Fine-tuning Pre-trained Large Language Models Weixi Song Z. Li Lefei Zhang Hai Zhao Bo Du VLM 19 6 0 19 Dec 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 22 15 0 04 Apr 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 27 4 0 07 Nov 2022
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats Brian Chmiel Ron Banner Elad Hoffer Hilla Ben Yaacov Daniel Soudry MQ 23 22 0 19 Dec 2021
No frame left behind: Full Video Action Recognition X. Liu S. Pintea F. Karimi Nejadasl O. Booij J. C. V. Gemert 13 40 0 29 Mar 2021
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 33 92 0 27 Jul 2019