Update README.md

README.md

@@ -169,12 +169,12 @@ python main_finetune.py \
 
 | Method | Type | Original Paper |
 |--------|------|-------------|
-| SleepFM | Contrastive | [Leave-one-out multi-modal contrastive learning](https://www.nature.com/articles/s41591-025-04133-4.pdf) |
-| SimCLR | Contrastive | [Simple Constrastive Learning](https://proceedings.mlr.press/v119/chen20j/chen20j.pdf) |
-| DINO | Self-distillation | [DINO](https://arxiv.org/pdf/2304.07193) |
-| VQ-VAE | Reconstruction | [Vector-quantized variational autoencoder](https://proceedings.neurips.cc/paper/2017/file/7a98af17e63a0ac09ce2e96d03992fbc-Paper.pdf) |
-| MAE | Reconstruction | [Masked Autoencoding](https://openaccess.thecvf.com/content/CVPR2022/papers/He_Masked_Autoencoders_Are_Scalable_Vision_Learners_CVPR_2022_paper.pdf) |
-| AR | Autoregressive | [Autoregressive Next-Token prediction](https://storage.prod.researchhub.com/uploads/papers/2020/06/01/language-models.pdf) |
+| SleepFM | Contrastive | Leave-one-out multi-modal contrastive learning |
+| SimCLR | Contrastive | Simple Contrastive Learning |
+| DINO | Self-distillation | DINOv2 (Oquab et al., 2023) |
+| VQ-VAE | Reconstruction | Vector-quantized variational autoencoder |
+| MAE | Reconstruction | Masked Autoencoding |
+| AR | Autoregressive | Autoregressive Next-Token prediction |
 | OSF | Self-distillation | ours |
 
 ### Downstream Tasks