Learning by Association โ A Versatile Semi-Supervised Training Method for Neural Networks
Learning by Association โ A Versatile Semi-Supervised Training Method for Neural Networks
In many real-world scenarios, labeled data for a specific machine learning task is costly to obtain. Semi-supervised training methods make use of abundantly available unlabeled data and a smaller number of labeled examples. We propose a new framework for semi-supervised training of deep neural networks inspired by learning in humans. โฆ