Search⌘ K
AI Features
Home
Courses
Mastering Self-Supervised Algorithms for Learning without Labels

References for Research Papers

Discover foundational and recent research papers essential for understanding self-supervised learning techniques. This lesson helps you access a curated list of influential studies on context prediction, contrastive learning, clustering, redundancy reduction, and masked image modeling tasks.

We'll cover the following...

References

For more details, please refer to the following references:

  1. [Predicting Relative Position of Patches] Carl Doersch, Abhinav Gupta, and Alexei A. Efros. Unsupervised Visual Representation Learning by Context Prediction. In ICCV 2015.

  2. [Predicting Rotation] Spyros Gidaris, Praveer Singh, Nikos Komodakis. Unsupervised Representation Learning by Predicting Image Rotations. In ICLR 2018.

  3. [Solving Jigsaw Puzzles] Mehdi Noroozi, ...