14.5k citations · 90.1k across the 347 of their papers we have counts for
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stat.ML2010★ 29 cited
Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs
Guillaume Desjardins, Aaron Courville, Yoshua Bengio
Restricted Boltzmann Machines (RBM) have attracted a lot of attention of late, as one the principle building blocks of deep networks. Training RBMs remains problematic however, bec…
cs.LG2010★ 13 cited
Deep Self-Taught Learning for Handwritten Character Recognition
Frédéric Bastien, Yoshua Bengio, Arnaud Bergeron +14
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtained…