/Self-Supervised-Reading-List-

Reading List

Well, these are the papers that I have read so far and it's a list just to keep track of that.

Papers

  1. A Simple Framework for Contrastive Learning of Visual Representations Arxiv
  2. Contrastive Representation Distillation Arxiv
  3. Unsupervised Learning by Predicting Noise Arxiv
  4. Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning Arxiv
  5. Exploring Simple Siamese Representation Learning Arxiv
  6. Learning deep representations by mutual information estimation and maximization. Arxiv
  7. Learning Representations by Maximizing Mutual Information Across Views. Arxiv
  8. Representation Learning with Contrastive Predictive Coding. Arxiv
  9. Contrastive Multiview Coding. Arxiv
  10. Self-Supervised Learning of Pretext-Invariant Representations. Arxiv
  11. Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. Arxiv
  12. Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. Arxiv
  13. Momentum Contrast for Unsupervised Visual Representation Learning. Arxiv
  14. Improved Baselines with Momentum Contrastive Learning. Arxiv
  15. What Makes for Good Views for Contrastive Learning? Arxiv
  16. Self-Supervised Learning with Swin Transformers. Arxiv
  17. Intriguing Properties of Contrastive Losses. Arxiv
  18. With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. Arxiv
  19. ReSSL: Relational Self-Supervised Learning with Weak Augmentation. Arxiv
  20. Learning Representations by Predicting Bags of Visual Words. Arxiv
  21. Information-Preserving Contrastive Learning for Self-Supervised Representations Contrastive Learning for Self-Supervised Representations. Arxiv