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Awesome Self-Supervised Learning

A curated list of research papers on self-supervised learning, where AI learns from unlabelled data.

New this week

What it does

Self-supervised learning is a way for AI to learn from raw data without people labelling every example. This list collects research papers on the topic, with links to the papers and their code.

It's organised by area, including theory, computer vision, robotics, language, speech, time series and graphs, plus talks, theses and blog posts.

Who it's for

Researchers and students studying modern AI training methods.

Can I use it without coding?

Yes. It's a list you read in your web browser. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Web browser
Computer
An ordinary computer is fine
API key
Not needed

Try it

  1. Open the project page and choose a topic from the table of contents.
  2. Follow the links to read papers or see their code.

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • No standard license listed. Check the GitHub page before using it for business.
  • More on staying safe