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jan-hula documents
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Adaptive Computation Time for Recurrent Neural Networks
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A Roadmap Towards Machine Intelligence
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Do We Really Need to Collect Millions of Faces for Effective Face Recognition
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Data-Dependent Initializations of Convolutional Neural Networks
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Not Just a Black Box Interpretable Deep Learning by Propagating Activation Differences
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The Informed Sampler a Discriminative Approach to Bayesian Inference in Generative Computer Vision Models
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Inverting Visual Representations With Convolutional Networks
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Learning Simple Algorithms From Examples
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A Tutorial on Stochastic Approximation Algorithms for Training Restricted Boltzmann Machines and Deep Belief Nets
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Little Notes on stochastic processes
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