Artificial Intelligence
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Few-Shot Learning
Quick Definition
Learning to perform tasks from a small number of examples
Full Definition
A ML paradigm where models learn to perform tasks from a small number of examples.
Examples
in-context learning, one-shot classification
Related Terms
in-context-learning
transfer-learning
More Artificial Intelligence Terms
Neural Network
Computing system inspired by brain neurons
Self-Attention
Mechanism allowing sequence positions to attend to all others
Long Short-Term Memory
RNN variant designed to learn long-term dependencies
Red Teaming AI
Adversarial testing of AI models for vulnerabilities
Variational Autoencoder
Generative model using latent space encoding and decoding
Style Transfer
Applying artistic style of one image to another using neural networks