Well, these are the papers that I have read so far and it's a list just to keep track of that.
- A Simple Framework for Contrastive Learning of Visual Representations Arxiv
- Contrastive Representation Distillation Arxiv
- Unsupervised Learning by Predicting Noise Arxiv
- Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning Arxiv
- Exploring Simple Siamese Representation Learning Arxiv
- Learning deep representations by mutual information estimation and maximization. Arxiv
- Learning Representations by Maximizing Mutual Information Across Views. Arxiv
- Representation Learning with Contrastive Predictive Coding. Arxiv
- Contrastive Multiview Coding. Arxiv
- Self-Supervised Learning of Pretext-Invariant Representations. Arxiv
- Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. Arxiv
- Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. Arxiv
- Momentum Contrast for Unsupervised Visual Representation Learning. Arxiv
- Improved Baselines with Momentum Contrastive Learning. Arxiv
- What Makes for Good Views for Contrastive Learning? Arxiv
- Self-Supervised Learning with Swin Transformers. Arxiv
- Intriguing Properties of Contrastive Losses. Arxiv
- With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. Arxiv
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation. Arxiv
- Learning Representations by Predicting Bags of Visual Words. Arxiv
- Information-Preserving Contrastive Learning for Self-Supervised Representations Contrastive Learning for Self-Supervised Representations. Arxiv