Existing methods like SSL use a binary graph based on augmentations of the same sample, while supervised learning relies on ...

Also: Google Next 2018: A deeper dive on AI and machine learning advances The paper explicitly draws upon work for more than a decade now on "graph neural networks." It also echoes some of the ...

When combined with convolutional neural networks, transformers can predict the content of masked regions. A more promising technique is contrastive learning, which tries to find vector ...