62 citations · 135 across the 5 of their papers we have counts for
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cs.CV2013★ 62 cited
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…
cs.LG2013★ 42 cited
GURLS: a Least Squares Library for Supervised Learning
Andrea Tacchetti, Pavan K Mallapragada, Matteo Santoro +1
We present GURLS, a least squares, modular, easy-to-extend software library for efficient supervised learning. GURLS is targeted to machine learning practitioners, as well as non-s…