2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2021
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
Muhammad Tayyab, Fahad Ahmad Khan, Abhijit Mahalanobis
We propose an efficient and straightforward method for compressing deep convolutional neural networks (CNNs) that uses basis filters to represent the convolutional layers, and opti…
cs.LG2019★ 2 cited
BasisConv: A method for compressed representation and learning in CNNs
Muhammad Tayyab, Abhijit Mahalanobis
It is well known that Convolutional Neural Networks (CNNs) have significant redundancy in their filter weights. Various methods have been proposed in the literature to compress tra…