1. Deep batch active learning by diverse, uncertain gradient lower bounds;Ash
2. Contrastive and non-contrastive self-supervised learning recover global and local spectral embedding methods;Balestriero,2022
3. Vicreg: Variance-invariance-covariance regularization for self-supervised learning;Bardes,2021
4. Convexity, Classification, and Risk Bounds