Tag Semi-supervised Learning
Deep learning has revolutionized various fields, from image generation to semi-supervised learning (SSL). Within the realm of Generative Adversarial Nets (GANs), researchers have made significant strides, but challenges persist in optimizing both the generator and discriminator simultaneously, leading to issues… Continue Reading →
What is Temporal Ensembling? Temporal Ensembling, a novel approach in the realm of semi-supervised learning, has recently garnered attention for its ability to deliver exceptional results. The method works by maintaining an exponential moving average of label predictions for each… Continue Reading →