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
Sentiment Analysis
NLP technique determining emotional tone in text
Federated Learning
Distributed ML training without sharing raw data
Attention Mechanism
Component allowing models to focus on relevant input parts
Reward Modeling
Training models to predict human preferences for RLHF
Long Short-Term Memory
RNN variant designed to learn long-term dependencies
Transfer Learning
Adapting a pre-trained model for a different related task