December 10, 2021 – Violet Xiang
Modeling human learning with contrastive learning algorithms Deep convolutional neural networks trained on large annotated visual datasets such as ImageNet have become the state-of-the-art models both for visual recognition tasks and for predicting neuronal responses in primates’ visual stream. Until recently, the large amount of annotated labels required to train these systems made them implausible […]