Metric Learning vs Classification for Disentangled Music Representation Learning.
Jongpil LeeNicholas J. BryanJustin SalamonZeyu JinJuhan NamPublished in: CoRR (2020)
Keyphrases
- metric learning
- distance metric learning
- learning tasks
- supervised learning
- distance metric
- margin maximization
- learning process
- kernel learning
- classification accuracy
- multi task
- learning algorithm
- reinforcement learning
- nearest neighbor classification
- decision trees
- feature space
- feature extraction
- unsupervised learning
- machine learning
- selective sampling
- learning problems
- image classification
- pattern recognition
- machine learning and pattern recognition
- text classification
- kernel matrix
- feature representation
- data sets
- nearest neighbor
- pairwise
- neural network