Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning

21 September 2021

Papers citing "Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning"

6 / 6 papers shown

Title
Distributed Log-driven Anomaly Detection System based on Evolving Decision Making Zhuoran Tan Qiyuan Wang Christos Anagnostopoulos S. P. Parambath Jeremy Singer Sam Temple 50 0 0 03 Apr 2025
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers Philip Kenneweg Alexander Schulz Sarah Schröder Barbara Hammer CLL 28 3 0 27 Mar 2024
Towards continually learning new languages Ngoc-Quan Pham J. Niehues A. Waibel CLL 11 1 0 21 Nov 2022
Correlation of the importances of neural network weights calculated by modern methods of overcoming catastrophic forgetting Alexey Kutalev 13 0 0 24 Oct 2022
Empirical investigations on WVA structural issues Alexey Kutalev A. Lapina CLL 16 1 0 11 Aug 2022
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020