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08/10/2020
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop
DeepDrummer is a drum loop generation tool that uses active learning to ...
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11/09/2019
Robo-PlaNet: Learning to Poke in a Day
Recently, the Deep Planning Network (PlaNet) approach was introduced as ...
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02/06/2019
Negative eigenvalues of the Hessian in deep neural networks
The loss function of deep networks is known to be non-convex but the pre...
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10/05/2016
Understanding intermediate layers using linear classifier probes
Neural network models have a reputation for being black boxes. We propos...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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11/20/2015
Variance Reduction in SGD by Distributed Importance Sampling
Humans are able to accelerate their learning by selecting training mater...
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03/18/2015
GSNs : Generative Stochastic Networks
We introduce a novel training principle for probabilistic models that is...
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06/11/2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks
Stochastic binary hidden units in a multi-layer perceptron (MLP) network...
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05/29/2013
Generalized Denoising Auto-Encoders as Generative Models
Recent work has shown how denoising and contractive autoencoders implici...
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11/18/2012
What Regularized Auto-Encoders Learn from the Data Generating Distribution
What do auto-encoders learn about the underlying data generating distrib...
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06/30/2012