University of Illinois

6 Posts

Animation showing image-to-image style transfer — mapping process
University of Illinois

AI With a Sense of Style: Style Transfer Method Produces Consistent Output in Successive Frames

The process known as image-to-image style transfer — mapping, say, the character of a painting’s brushstrokes onto a photo — can render inconsistent results. When they apply the styles of different artists to the same target
Architecture of vision-language tasks
University of Illinois

One Model for Vision-Language

Researchers have proposed task-agnostic architectures for image classification tasks and language tasks. New work proposes a single architecture for vision-language tasks.
Protein structures
University of Illinois

What AI Knows About Proteins

Transformer models trained on sequences of amino acids that form proteins have had success classifying and generating viable sequences. New research shows that they also capture information about protein structure.
Graphs comparing SGD + Momentum, Adam and AdaBelief
University of Illinois

Striding Toward the Minimum

When you’re training a deep learning model, it can take days for an optimization algorithm to minimize the loss function. A new approach could save time.
Graphs and data related to semi-supervised learning
University of Illinois

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.
Information related to a convolutional neural network that predicts corn yields in fields
University of Illinois

AI on the Cob

Deep learning research is harvesting better ways to manage farms. A convolutional neural network predicted corn yields in fields across the U.S. Midwest.

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