5.7k citations · 15.5k across the 75 of their papers we have counts for
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stat.ML2011★ 83 cited
Ranking via Sinkhorn Propagation
Ryan Prescott Adams, Richard S. Zemel
It is of increasing importance to develop learning methods for ranking. In contrast to many learning objectives, however, the ranking problem presents difficulties due to the fact…
stat.ML2011★ 12 cited
On Nonparametric Guidance for Learning Autoencoder Representations
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for…