Augmentations vs Algorithms: What Works in Self-Supervised Learning.
Warren R. MorningstarAlex BijamovChris DuvarneyLuke FriedmanNeha Mukund KalibhatLuyang LiuPhilip Andrew MansfieldRenan A. Rojas-GomezKaran SinghalBradley GreenSushant PrakashPublished in: CoRR (2024)
Keyphrases
- learning algorithm
- learning models
- learning systems
- noise tolerant
- learning process
- prior knowledge
- data structure
- learning tasks
- online learning
- times faster
- theoretical analysis
- computational complexity
- machine learning
- graph theory
- incremental learning
- combinatorial optimization
- computational efficiency
- computationally efficient
- knowledge acquisition
- data mining techniques
- optimization problems
- supervised learning
- active learning
- evolutionary algorithm