Mutual exclusivity loss for semi-supervised deep learning

@article{Sajjadi2016MutualEL,
  title={Mutual exclusivity loss for semi-supervised deep learning},
  author={Mehdi Sajjadi and Mehran Javanmardi and Tolga Tasdizen},
  journal={2016 IEEE International Conference on Image Processing (ICIP)},
  year={2016},
  pages={1908-1912}
}
In this paper we consider the problem of semi-supervised learning with deep Convolutional Neural Networks (ConvNets). Semi-supervised learning is motivated on the observation that unlabeled data is cheap and can be used to improve the accuracy of classifiers. In this paper we propose an unsupervised regularization term that explicitly forces the classifier's prediction for multiple classes to be mutually-exclusive and effectively guides the decision boundary to lie on the low density space… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 19 times over the past 90 days. VIEW TWEETS
8 Citations
30 References
Similar Papers

Similar Papers

Loading similar papers…