Scaling MLPs: A Tale of Inductive Bias.
Gregor BachmannSotiris AnagnostidisThomas HofmannPublished in: CoRR (2023)
Keyphrases
- inductive bias
- machine learning
- inductive learning
- pac learning
- domain knowledge
- prior knowledge
- training examples
- hypothesis space
- multitask learning
- supervised learning
- domain theory
- training set
- learning tasks
- learning problems
- uniform distribution
- knowledge acquisition
- decision trees
- learning theory
- cross validation
- machine learning algorithms
- previously unseen
- special case
- sample selection