Methodology

Few-Shot Learning

Learning from very few examples.

0 datasets0 results

Few-Shot Learning is a key task in methodology. Below you will find the standard benchmarks used to evaluate models, along with current state-of-the-art results.

Benchmarks & SOTA

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Related Tasks

Self-Supervised Learning

Learning representations without labeled data.

Transfer Learning

Transferring knowledge between tasks and domains.

Continual Learning

Learning new tasks without forgetting old ones.

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