355 citations · 1.6k across the 54 of their papers we have counts for
3 papers · 1 filter
Unsupervised Learning of Invariant Representations in Hierarchical Architectures
Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco +3
The present phase of Machine Learning is characterized by supervised learning algorithms relying on large sets of labeled examples (). The next phase is likely to foc…
Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?
Qianli Liao, Joel Z Leibo, Youssef Mroueh +1
The standard approach to unconstrained face recognition in natural photographs is via a detection, alignment, recognition pipeline. While that approach has achieved impressive resu…
On Learnability, Complexity and Stability
Silvia Villa, Lorenzo Rosasco, Tomaso Poggio
We consider the fundamental question of learnability of a hypotheses class in the supervised learning setting and in the general learning setting introduced by Vladimir Vapnik. We…