Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4.
Nam Kyun KimHong Kook KimPublished in: CoRR (2021)
Keyphrases
- loss function
- student model
- semi supervised
- pairwise
- semi supervised learning
- co training
- intelligent tutoring systems
- tutoring system
- student modeling
- semi supervised classification
- pairwise constraints
- student modelling
- boosting framework
- unlabeled data
- learning styles
- labeled data
- learning to rank
- supervised learning
- empirical risk
- risk minimization
- support vector
- unsupervised learning
- concept maps
- gaussian process
- reproducing kernel hilbert space
- metric learning
- semi supervised learning algorithms
- markov random field
- stochastic gradient descent
- multi class
- item response theory
- similarity measure
- solution path
- student interaction