Semi-Supervised Learning by Exploiting Unlabeled Data Correlations in a Dual-Branch Network.

Jie Ling Meng Yang

Published in: ICME (2021)

Keyphrases

semi supervised learning
unlabeled data
labeled data
semi supervised
semi supervised classification
training data
co training
supervised learning
labeled examples
semi supervised learning methods

unsupervised learning
labeled and unlabeled data
manifold regularization
machine learning
number of labeled examples
active learning
transfer learning
learning problems
semi supervised learning algorithms
label propagation

labeled training data
unlabeled examples
learning models
data points
unlabeled samples
supervised learning algorithms
improve the classification accuracy
semisupervised learning
semi supervised learning setting
abundant unlabeled data

domain adaptation
class labels
text classification
learning algorithm
regularization framework
instance selection
positive examples
transductive svm
feature selection