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Model Agnostic Meta Learning
Found 2 free book(s)arXiv:2005.14165v4 [cs.CL] 22 Jul 2020
arxiv.orgloop of meta-learning. We further specialize the description to “zero-shot”, “one-shot”, or “few-shot” depending on how many demonstrations are provided at inference time. These terms are intended to remain agnostic on the question of whether the model
Declarative Machine Learning A Classification of Basic ...
arxiv.orgThis meta information might be built into the system or annotated in case of extensible systems. Overall operation semantics allow to reason about equivalences, alternative ex-ecution strategies, and costs of these alternatives. Property 5. Implementation-Agnostic Operations: The speci cation of ML tasks or algorithms is independent of