1k citations · 2.4k across the 12 of their papers we have counts for
3 papers · 1 filter
Joint Training of Deep Boltzmann Machines
Ian Goodfellow, Aaron Courville, Yoshua Bengio
We introduce a new method for training deep Boltzmann machines jointly. Prior methods require an initial learning pass that trains the deep Boltzmann machine greedily, one layer at…
Theano: new features and speed improvements
Frédéric Bastien, Pascal Lamblin, Razvan Pascanu +6
Theano is a linear algebra compiler that optimizes a user's symbolically-specified mathematical computations to produce efficient low-level implementations. In this paper, we prese…
Large-Scale Feature Learning With Spike-and-Slab Sparse Coding
Ian Goodfellow, Aaron Courville, Yoshua Bengio
We consider the problem of object recognition with a large number of classes. In order to overcome the low amount of labeled examples available in this setting, we introduce a new…