4 citations · 4 across the 1 of their papers we have counts for
3 papers · 1 filter
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
Thomas Robert, Nicolas Thome, Matthieu Cord
In this paper, we introduce a new model for leveraging unlabeled data to improve generalization performances of image classifiers: a two-branch encoder-decoder architecture called…
SHADE: Information Based Regularization for Deep Learning
Michael Blot, Thomas Robert, Nicolas Thome +1
Regularization is a big issue for training deep neural networks. In this paper, we propose a new information-theory-based regularization scheme named SHADE for SHAnnon DEcay. The o…
SHADE: Information-Based Regularization for Deep Learning
Michael Blot, Thomas Robert, Nicolas Thome +1
Regularization is a big issue for training deep neural networks. In this paper, we propose a new information-theory-based regularization scheme named SHADE for SHAnnon DEcay. The o…