Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural
Networks Using the Marginal Likelihood

Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood

25 February 2024

Alexander Immer

Bertrand Charpentier

Stephan Günnemann

Vincent Fortuin

Papers citing "Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood"

6 / 6 papers shown

Title
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 113 0 0 04 Feb 2025
OTOV2: Automatic, Generic, User-Friendly Tianyi Chen Luming Liang Tian Ding Zhihui Zhu Ilya Zharkov VLM MQ 45 31 0 13 Mar 2023
DepGraph: Towards Any Structural Pruning Gongfan Fang Xinyin Ma Mingli Song Michael Bi Mi Xinchao Wang GNN 91 257 0 30 Jan 2023
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 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
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 147 674 0 24 Jan 2021