Neural Point Based Graphics technique producing a realistic image
Machine Learning Research

Points Paint the Picture

Creating a virtual representation of a scene using traditional polygons and texture maps involves several complex operations, and even neural-network approaches have required manual preprocessing. Researchers propose a new deep-learning pipeline that visualizes scenes with far less fuss.
Illustration of Facebook AI Research method to compress neural networks
Machine Learning Research

Honey, I Shrunk the Network!

Deep learning models can be unwieldy and often impractical to run on smaller devices without major modification. Researchers at Facebook AI Research found a way to compress neural networks with minimal sacrifice in accuracy.
Calibration plot for ImageNet
Machine Learning Research

Scaling Bayes

Neural networks are good at making predictions, but they’re not so good at estimating how certain they are. If the training data set is small and many sets of model parameters fit the data well, for instance, the network may not realize this explicitly, leading to overly confident predictions.
Google Research Football video
Machine Learning Research

Get Your Kicks With DRL

Researchers typically test deep reinforcement learning algorithms on games from Space Invaders to StarCraft. The Google Brain team in Zurich adds another option: football, also known as soccer.
Bert and Ernie from Sesame Street
Machine Learning Research

BERT Is Back

Less than a month after XLNet overtook BERT, the pole position in natural language understanding changed hands again. RoBERTa is an improved BERT pretraining recipe that beats its forbear, becoming the new state-of-the-art language model — for the moment.
Comparison of the results using different normalization functions
Machine Learning Research

Style Upgrade

Image-to-image translation, in which stylistic features from one image are imposed on the content of another to create a new picture, traditionally has been limited to translating either shapes or textures. A new network translates both.

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