Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Prakash Chandra ChhipaJohan Rodahl HolmgrenKanjar DeRajkumar SainiMarcus LiwickiPublished in: CoRR (2023)
Keyphrases
- learning process
- learning tasks
- empirical studies
- significant improvement
- data mining
- learning algorithm
- mobile robot
- image representation
- computational cost
- reinforcement learning
- data representations
- learning models
- neural nets
- density estimation
- inductive inference
- neural network
- learning systems
- benchmark datasets
- machine learning algorithms
- knowledge acquisition
- online learning
- text classification
- high dimensional
- multiscale