45 citations · 168 across the 23 of their papers we have counts for
3 papers · 1 filter
Convex Learning of Multiple Tasks and their Structure
Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio +1
Reducing the amount of human supervision is a key problem in machine learning and a natural approach is that of exploiting the relations (structure) among different tasks. This is…
Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?
Giulia Pasquale, Carlo Ciliberto, Francesca Odone +2
The ability to visually recognize objects is a fundamental skill for robotics systems. Indeed, a large variety of tasks involving manipulation, navigation or interaction with other…
Learning Multiple Visual Tasks while Discovering their Structure
Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
Multi-task learning is a natural approach for computer vision applications that require the simultaneous solution of several distinct but related problems, e.g. object detection, c…