Semisupervised Learning

6 Posts

Two reindeers with masks on a snowy night
Semisupervised Learning

Coping With Covid

AI accelerated the search for a coronavirus vaccine, detected Covid-19 cases, and otherwise softened the pandemic’s blow. Machine learning researchers worldwide scrambled to harness the technology against the coronavirus.
Covid Moonshot animation
Semisupervised Learning

Crowdsourcing Against Coronavirus

Covid Moonshot, an open-source project to vet potential medicines using machine learning, is closing in on compounds that might help curb Covid-19. Four new antiviral drugs identified by the project are ready to advance to animal trials.
Graphs and data related to semi-supervised learning
Semisupervised Learning

All Examples Are Not Equal

Semi-supervised learning — a set of training techniques that use a small number of labeled examples and a large number of unlabeled examples — typically treats all unlabeled examples the same way. But some examples are more useful for learning than others.
Colorful chemical fragments bind to the main protease of the SARS-CoV-2 virus
Semisupervised Learning

Crowdsourcing a Cure

Researchers are drawing up blueprints for drugs to fight Covid-19. Machine learning is identifying those most likely to be effective. Covid Moonshot, an international group of scientists in academia and industry, is crowdsourcing designs for molecules with potential to thwart the coronavirus.
Graph related to imple Contrastive Learning (SimCLR)
Semisupervised Learning

Self-Supervised Simplicity

A simple linear classifier paired with a self-supervised feature extractor outperformed a supervised deep learning model on ImageNet, according to new research.
FixMatch example
Semisupervised Learning

Less Labels, More Learning

In small data settings where labels are scarce, semi-supervised learning can train models by using a small number of labeled examples and a larger set of unlabeled examples. A new method outperforms earlier techniques.

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