50 citations · 50 across the 6 of their papers we have counts for
Showing 2018 · stat.MLShow all
3 papers · 2 filters
stat.ML2018
Task Agnostic Continual Learning Using Online Variational Bayes
Chen Zeno, Itay Golan, Elad Hoffer +1
Catastrophic forgetting is the notorious vulnerability of neural networks to the change of the data distribution while learning. This phenomenon has long been considered a major ob…
stat.ML2018
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer, Ron Banner, Itay Golan +1
Over the past few years, Batch-Normalization has been commonly used in deep networks, allowing faster training and high performance for a wide variety of applications. However, the…
stat.ML2018
On the Blindspots of Convolutional Networks
Elad Hoffer, Shai Fine, Daniel Soudry
Deep convolutional network has been the state-of-the-art approach for a wide variety of tasks over the last few years. Its successes have, in many cases, turned it into the default…