2 papers
cs.LG2025
Position: A Theory of Deep Learning Must Include Compositional Sparsity
David A. Danhofer, Davide D'Ascenzo, Rafael Dubach +1
Overparametrized Deep Neural Networks (DNNs) have demonstrated remarkable success in a wide variety of domains too high-dimensional for classical shallow networks subject to the cu…
cs.LG2024
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks
David A. Danhofer
The crucial role of convolutional models, both as standalone vision models and backbones in foundation models, necessitates effective acceleration techniques. This paper proposes a…