Self-supervised learning (SSL) is a paradigm in machine learning where a model is trained on a task using the data itself to generate supervisory signals, rather than relying on externally-provided labels.

Sep 8, 2025 · Self-Supervised Learning (SSL) is a type of machine learning where a model is trained using data that does not have any labels or answers provided. Instead of needing people to label the …

Jan 5, 2021 · Self-supervised learning is a machine learning technique that uses unsupervised learning for tasks that conventionally require supervised learning. Rather than relying on labeled datasets for …

What is self-supervised learning? But supervised pretraining comes at a cost... Can self-supervised learning help? Idea: Hide or modify part of the input. Ask model to recover input or classify what …

Sep 7, 2025 · Self Supervised Learning in machine learning is a technique where the system generates its own supervisory signals from raw data. Instead of asking humans to label images, sentences, or …

Self-supervised learning (SSL) is a machine learning paradigm where models learn representations from unlabeled data by defining and solving proxy tasks (pretext tasks) that generate supervisory signals …

Jan 29, 2025 · Self-supervised learning is a machine learning technique in which a model learns representations or features from unlabeled data by generating its own supervision signal.

Jul 20, 2025 · Self-supervised learning (SSL) is a cutting-edge machine learning technique that enables AI models to learn from vast amounts of unlabeled data by generating their own supervisory signals.

Feb 28, 2025 · In self-supervised learning, the model is not trained using a label as a supervision signal but using the data itself. For example, a common self-supervised method is to train a model to …

May 18, 2025 · Self-supervised learning relies on creative proxy tasks—known as pretext tasks—that transform unlabeled data into supervised signals. By withholding or altering parts of the data and …