Self-Supervised Learning for Pairwise Data Refinement.
Gustavo Hernández ÁbregoBowen LiangWei WangZarana ParekhYinfei YangYun-Hsuan SungPublished in: AACL/IJCNLP (2020)
Keyphrases
- data sets
- pairwise
- high quality
- learning process
- synthetic data
- experimental data
- data structure
- training data
- prior knowledge
- end users
- data processing
- database
- statistical significance
- learning algorithm
- probability distribution
- knowledge discovery
- background knowledge
- human experts
- learned models
- learning systems
- learning tasks
- raw data
- spectral clustering
- hidden variables
- labeled data
- data collection
- markov random field
- image data
- data sources
- data analysis
- missing data
- data distribution
- higher order
- supervised learning
- e learning
- bayesian methods
- neural network