10.8k citations
- Université de MontréalCA33 papers
- McGill UniversityCA24 papers
- Centre National de la Recherche ScientifiqueFR18 papers
- École de Technologie SupérieureCA13 papers
- Louisiana State UniversityUS12 papers
- Stanford UniversityUS12 papers
- Georgia Institute of TechnologyUS11 papers
- Sorbonne UniversitéFR11 papers
- Université Paris-SaclayFR11 papers
- University College LondonGB11 papers
- Columbia UniversityUS10 papers
- Concordia UniversityCA10 papers
Showing 2017 · stat.MLShow all
3 papers · 2 filters
stat.ML2017★ 32 cited
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté +2
Many efforts have been devoted to training generative latent variable models with autoregressive decoders, such as recurrent neural networks (RNN). Stochastic recurrent models have…
stat.ML2017★ 353 cited
A Closer Look at Memorization in Deep Networks
Devansh Arpit, Stanisław Jastrzębski, Nicolas Ballas +8
We examine the role of memorization in deep learning, drawing connections to capacity, generalization, and adversarial robustness. While deep networks are capable of memorizing noi…
stat.ML2017★ 14 cited
Unimodal probability distributions for deep ordinal classification
Christopher Beckham, Christopher Pal
Probability distributions produced by the cross-entropy loss for ordinal classification problems can possess undesired properties. We propose a straightforward technique to constra…