MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts.
Weixin LiangJames ZouPublished in: ICLR (2022)
Keyphrases
- training dataset
- benchmark datasets
- training and testing data
- synthetic datasets
- text classification tasks
- ground truth labels
- high dimensional datasets
- uci datasets
- training data
- training set
- training samples
- contextual information
- bag of words
- class imbalanced data
- massive datasets
- pascal voc
- test set
- probability distribution
- artificial and real world datasets
- restricted boltzmann machine
- supervised learning
- training and test data
- million images
- weakly labeled
- linear svm
- training process
- database
- test data
- data distribution
- training examples
- cooperative
- conflict resolution
- photo collections
- image dataset
- context dependent
- random variables
- object recognition
- e learning
- machine learning
- data sets