Zero-Shot Learning
Quick Definition
Performing tasks on unseen classes without training examples
Full Definition
A ML paradigm where a model performs tasks on unseen classes without any training examples for those classes.
Examples
image classification of new categories, cross-domain transfer
Related Terms
few-shot-learning
transfer-learning
meta-learning
More Artificial Intelligence Terms
In-Context Learning
LLMs learning new tasks from prompt examples without weight updates
Diffusion Model
Generative model creating data by iteratively removing noise
Reward Modeling
Training models to predict human preferences for RLHF
Transfer Learning
Adapting a pre-trained model for a different related task
AutoML
Automation of the machine learning pipeline
Explainable AI
AI that provides understandable explanations for decisions