Generative model

Known as: Generative statistical model 
In probability and statistics, a generative model is a model for randomly generating observable data values, typically given some hidden parameters… (More)
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Topic mentions per year

Topic mentions per year

1963-2017
020040019632017

Papers overview

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Highly Cited
2016
Highly Cited
2016
This paper introduces WaveNet, a deep neural network for generating raw audio waveforms. The model is fully probabilistic and… (More)
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Highly Cited
2016
Highly Cited
2016
Deep generative models parameterized by neural networks have recently achieved state-ofthe-art performance in unsupervised and… (More)
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Highly Cited
2014
Highly Cited
2014
We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two… (More)
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Highly Cited
2011
Highly Cited
2011
Generative models of text typically associate a multinomial with every class label or topic. Even in simple models this requires… (More)
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Highly Cited
2010
Highly Cited
2010
We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images… (More)
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Highly Cited
2008
Highly Cited
2008
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised… (More)
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Highly Cited
2006
Highly Cited
2006
In this paper, we present a graphical model for polyphonic music transcription. Our model, formulated as a dynamical Bayesian… (More)
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Highly Cited
2006
Highly Cited
2006
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization… (More)
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Highly Cited
2006
Highly Cited
2006
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a… (More)
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Highly Cited
1990
Highly Cited
1990
12a. DISTRIBUTION / AVAILABILITY STATEMENT 12b. DISTRIBUTION CODE 13. ABSTRACT (Maximum 200 words) We introduce three models of… (More)
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