Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning.
Witold SosnowskiKarolina SewerynAnna WróblewskaPiotr GawrysiakPublished in: CoRR (2022)
Keyphrases
- language model
- fine tuning
- loss function
- distance metric learning
- semi supervised
- pairwise
- metric learning
- distance metric
- pairwise constraints
- image classification
- probabilistic model
- supervised learning
- document retrieval
- information retrieval
- support vector
- labeled data
- semi supervised learning
- test collection
- retrieval model
- unsupervised learning
- visual features
- unlabeled data
- distance function
- reproducing kernel hilbert space
- key frames
- boosting algorithms
- kernel learning
- text categorization
- image content
- distance measure
- retrieval effectiveness
- dimensionality reduction
- active learning
- similarity measure
- learning algorithm