Neural network relief: a pruning algorithm based on neural activity

22 September 2021

Papers citing "Neural network relief: a pruning algorithm based on neural activity"

9 / 9 papers shown

Title
Reduced storage direct tensor ring decomposition for convolutional neural networks compression Mateusz Gabor R. Zdunek 20 0 0 17 May 2024
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes Lucio Dery Steven Kolawole Jean-Francois Kagey Virginia Smith Graham Neubig Ameet Talwalkar 39 28 0 08 Feb 2024
Continual learning for surface defect segmentation by subnetwork creation and selection Aleksandr Dekhovich Miguel A. Bessa CLL 24 3 0 08 Dec 2023
iPINNs: Incremental learning for Physics-informed neural networks Aleksandr Dekhovich M. Sluiter David Tax Miguel A. Bessa AI4CE DiffM 12 10 0 10 Apr 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training Xiaoying Zhi Varun Babbar P. Sun Fran Silavong Ruibo Shi Sean J. Moran Sean Moran 31 1 0 17 Feb 2023
Cooperative data-driven modeling Aleksandr Dekhovich O. T. Turan Jiaxiang Yi Miguel A. Bessa CLL KELM AI4CE 19 5 0 23 Nov 2022
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks Aleksandr Dekhovich David Tax M. Sluiter Miguel A. Bessa CLL 21 19 0 09 Aug 2022
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks Ghada Sokar D. Mocanu Mykola Pechenizkiy CLL 21 8 0 11 Oct 2021
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 222 382 0 05 Mar 2020