MAML is a Noisy Contrastive Learner in Classification.
Chia-Hsiang KaoWei-Chen ChiuPin-Yu ChenPublished in: ICLR (2022)
Keyphrases
- pattern recognition
- pattern classification
- feature extraction
- automatic classification
- training set
- classification accuracy
- machine learning
- classification systems
- decision trees
- feature space
- feature vectors
- classification algorithm
- support vector machine svm
- classification scheme
- support vector machine
- support vector
- learning environment
- neural network
- training samples
- decision rules
- object classification
- language learning
- classification process
- image classification
- classification models
- noisy data
- class labels
- unsupervised learning
- clustering algorithm
- feature selection
- data mining