Supervised learning

A Simple Framework for Contrastive Learning of Visual Representations

Emerging Properties in Self-Supervised Vision Transformers

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

A survey on semi-supervised learning

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

A simple framework for contrastive learning of visual representations

Density-aware active learning for materials discovery: a case study on functionalized nanoporous materials