50 citations · 51 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 50 cited
Augment your batch: better training with larger batches
Elad Hoffer, Tal Ben-Nun, Itay Hubara +3
Large-batch SGD is important for scaling training of deep neural networks. However, without fine-tuning hyperparameter schedules, the generalization of the model may be hampered. W…
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…