399 citations · 1.1k across the 23 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
stat.ML2016★ 1 cited
Spatial contrasting for deep unsupervised learning
Elad Hoffer, Itay Hubara, Nir Ailon
Convolutional networks have marked their place over the last few years as the best performing model for various visual tasks. They are, however, most suited for supervised learning…
cs.LG2016★ 31 cited
Semi-supervised deep learning by metric embedding
Elad Hoffer, Nir Ailon
Deep networks are successfully used as classification models yielding state-of-the-art results when trained on a large number of labeled samples. These models, however, are usually…
cs.LG2016★ 14 cited
Deep unsupervised learning through spatial contrasting
Elad Hoffer, Itay Hubara, Nir Ailon
Convolutional networks have marked their place over the last few years as the best performing model for various visual tasks. They are, however, most suited for supervised learning…