NIPS

Known as: Neural Information Processing Systems, NIPS conference, The NIPS Experiment 
The Conference and Workshop on Neural Information Processing Systems (NIPS) is a machine learning and computational neuroscience conference held… (More)
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Topic mentions per year

Topic mentions per year

1988-2018
0102019882018

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
This report summarizes the tutorial presented by the author at NIPS 2016 on generative adversarial networks (GANs). The tutorial… (More)
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Highly Cited
2012
Highly Cited
2012
We reformulate a class of non-linear stochastic optimal control problems introduced by Todorov (in Advances in Neural Information… (More)
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2009
2009
The cloud security is a safe mode applied super Internet based on the cloud computing, also a new technology and the trend of… (More)
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Highly Cited
2008
Highly Cited
2008
Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF… (More)
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Highly Cited
2006
Highly Cited
2006
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the… (More)
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Highly Cited
2005
Highly Cited
2005
This article investigates the performance of combining support vector machines (SVM) and various feature selection strategies… (More)
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Highly Cited
2004
Highly Cited
2004
The NIPS 2003 workshops included a feature selection competition organized by the authors. We provided participants with five… (More)
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Highly Cited
2004
Highly Cited
2004
We introduce the author-topic model, a generative model for documents that extends Latent Dirichlet Allocation (LDA; Blei, Ng… (More)
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Highly Cited
2000
Highly Cited
2000
In this paper, we use mutual information to characterize the distributions of phonetic and speaker/channel information in a time… (More)
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Highly Cited
1997
Highly Cited
1997
Multichannel deconvolution and equalization is an important task for numerous applications in communications, signal processing… (More)
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