1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning
Dieter Balemans, Thomas Huybrechts, Jan Steckel +1
This paper presents a novel approach to neural network pruning by integrating a graph-based observation space into an AutoML framework to address the limitations of existing method…
cs.LG2023★ 1 cited
Evaluation Metrics for DNNs Compression
Abanoub Ghobrial, Samuel Budgett, Dieter Balemans +3
There is a lot of ongoing research effort into developing different techniques for neural networks compression. However, the community lacks standardised evaluation metrics, which…