no code implementations • 26 Jul 2022 • Christoffer Loeffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern Eskofier, Christopher John Rozell, Christopher Mutschler
We adapt an entropy-based active learning method with recent work from triplet mining to collect easy-to-answer but still informative annotations from human participants and use them to train a deep convolutional network that generalizes to unseen samples.
1 code implementation • 9 Oct 2019 • Gregory Canal, Stefano Fenu, Christopher Rozell
Many machine learning tasks such as clustering, classification, and dataset search benefit from embedding data points in a space where distances reflect notions of relative similarity as perceived by humans.
2 code implementations • 19 Oct 2017 • Raphael Gontijo Lopes, Stefano Fenu, Thad Starner
Recent advances in model compression have provided procedures for compressing large neural networks to a fraction of their original size while retaining most if not all of their accuracy.