Zero-shot learning: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

10 September 2025

  • curprev 03:0703:07, 10 September 2025‎ Ai talk contribs‎ 5,846 bytes +5,846‎ Created page with "== Introduction == Zero-shot learning (ZSL) is a paradigm in machine learning and artificial intelligence that enables models to recognize and categorize data they have not encountered during training. Unlike traditional supervised learning, which requires labeled examples for each class, zero-shot learning leverages auxiliary information, such as semantic embeddings or attribute descriptions, to make predictions about unseen classes. This approach is particular..."
Retrieved from "https://canonica.ai/page/Zero-shot_learning"