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Structured prediction

Known as: Latent variable structured perceptron, Structured perceptron, Structured learning 
Structured prediction or structured (output) learning is an umbrella term for supervised machine learning techniques that involves predicting… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
There has been much recent work on training neural attention models at the sequence-level using either reinforcement learning… Expand
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Highly Cited
2016
Highly Cited
2016
We introduce structured prediction energy networks (SPENs), a flexible framework for structured prediction. A deep architecture… Expand
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Highly Cited
2015
Highly Cited
2015
Supervised deep learning has been successfully applied to many recognition problems. Although it can approximate a complex many… Expand
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Highly Cited
2011
Highly Cited
2011
Sequential prediction problems such as imitation learning, where future observations depend on previous predictions (actions… Expand
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Highly Cited
2011
Highly Cited
2011
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex… Expand
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Highly Cited
2009
Highly Cited
2009
We present Searn, an algorithm for integrating search and learning to solve complex structured prediction problems such as those… Expand
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Highly Cited
2008
Highly Cited
2008
We describe twin Gaussian processes (TGP), a generic structured prediction method that uses Gaussian process (GP) priors on both… Expand
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Highly Cited
2007
Highly Cited
2007
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently… Expand
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Highly Cited
2005
Highly Cited
2005
We consider large margin estimation in a broad range of prediction models where inference involves solving combinatorial… Expand
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Highly Cited
2005
Highly Cited
2005
A common obstacle preventing the rapid deployment of supervised machine learning algorithms is the lack of labeled training data… Expand
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