3 papers
cs.LG2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Giulia Fracastoro, Sophie M. Fosson, Andrea Migliorati +1
The design of sparse neural networks, i.e., of networks with a reduced number of parameters, has been attracting increasing research attention in the last few years. The use of spa…
cs.CV2020
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification
Arslan Ali, Andrea Migliorati, Tiziano Bianchi +1
Deep learning has shown outstanding performance in several applications including image classification. However, deep classifiers are known to be highly vulnerable to adversarial a…
cs.CV2019
Feature Fusion for Robust Patch Matching With Compact Binary Descriptors
Andrea Migliorati, Attilio Fiandrotti, Gianluca Francini +2
This work addresses the problem of learning compact yet discriminative patch descriptors within a deep learning framework. We observe that features extracted by convolutional layer…