Few-Shot Learning

Quick Definition

Learning to perform tasks from a small number of examples

A ML paradigm where models learn to perform tasks from a small number of examples.

in-context learning, one-shot classification

in-context-learning transfer-learning

Learned vector representations of discrete objects in continuous space

Generative model using latent space encoding and decoding

Computing system inspired by brain neurons

AI using symbolic logic and explicit knowledge rules

Autonomous software taking goal-directed actions

AI field enabling computers to understand human language