Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Feature learning

Known as: Learning representation, Representation learning, Unsupervised feature learning 
In machine learning, feature learning or representation learning is a set of techniques that learn a feature: a transformation of raw data input to a… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2019
Review
2019
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas, such as… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Review
2019
Review
2019
The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective… Expand
Is this relevant?
Review
2019
Review
2019
The appearance of generative adversarial networks (GAN) provides a new approach and framework for computer vision. Compared with… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2017
Highly Cited
2017
The ability of the Generative Adversarial Networks (GANs) framework to learn generative models mapping from simple latent… Expand
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2016
Highly Cited
2016
We present an unsupervised visual feature learning algorithm driven by context-based pixel prediction. By analogy with auto… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Is this relevant?
Highly Cited
2011
Highly Cited
2011
A great deal of research has focused on algorithms for learning features from unlabeled data. Indeed, much progress has been made… Expand
  • figure 1
  • figure 3
  • figure 2
  • figure 5
  • figure 4
Is this relevant?
Highly Cited
2011
Highly Cited
2011
Detecting and reading text from natural images is a hard computer vision task that is central to a variety of emerging… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Abstract We present a method for learning sparse representations shared across multiple tasks. This method is a generalization of… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2006
Highly Cited
2006
We present a method for learning a low-dimensional representation which is shared across a set of multiple related tasks. The… Expand
  • figure 1
  • figure 2
  • figure 3
Is this relevant?