Bridging the Gap: End-to-End Domain Adaptation for Emotional Vocalization Classification using Adversarial Learning.
Dominik SchillerSilvan MertesPol van RijnElisabeth AndréPublished in: MuSe @ ACM Multimedia (2022)
Keyphrases
- end to end
- domain adaptation
- supervised learning
- learning algorithm
- labeled data
- learning process
- document classification
- classification accuracy
- co training
- unsupervised learning
- text classification
- cross domain
- feature vectors
- reinforcement learning
- training data
- machine learning
- covariate shift
- semi supervised learning
- semi supervised
- prior knowledge
- training samples
- text categorization
- machine learning algorithms
- transfer learning
- model selection
- learning tasks
- data model
- pairwise
- data sets