10.8k citations
- Université de MontréalCA35 papers
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- Centre National de la Recherche ScientifiqueFR19 papers
- École de Technologie SupérieureCA13 papers
- Louisiana State UniversityUS12 papers
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Showing 2014 · cs.LGShow all
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cs.LG2014★ 2k cited
FitNets: Hints for Thin Deep Nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou +3
While depth tends to improve network performances, it also makes gradient-based training more difficult since deeper networks tend to be more non-linear. The recently proposed know…
cs.LG2014★ 1.3k cited
NICE: Non-linear Independent Components Estimation
Laurent Dinh, David Krueger, Yoshua Bengio
We propose a deep learning framework for modeling complex high-dimensional densities called Non-linear Independent Component Estimation (NICE). It is based on the idea that a good…