Machine Learning Research
Working Through Uncertainty
How to build robots that respond to novel situations? When prior experience is limited, enabling a model to describe its uncertainty can enable it to explore more avenues to success.
Machine Learning Research
Speech Recognition With an Accent
Models that achieve state-of-the-art performance in automatic speech recognition (ASR) often perform poorly on nonstandard speech. New research offers methods to make ASR more useful to users with heavy accents or speech impairment.
Machine Learning Research
Speech Recognition With an Accent
Models that achieve state-of-the-art performance in automatic speech recognition (ASR) often perform poorly on nonstandard speech. New research offers methods to make ASR more useful to users with heavy accents or speech impairment.
Machine Learning Research
What Language Models Know
Watson set a high bar for language understanding in 2011, when it famously whipped human competitors in the televised trivia game show Jeopardy! IBM’s special-purpose AI required around $1 billion. Research suggests that today’s best language models can accomplish similar tasks right off the shelf.
Machine Learning Research
Leveling the Playing Field
Deep reinforcement learning has given machines apparent hegemony in vintage Atari games, but their scores have been hard to compare — with one another or with human performance — because there are no rules governing what machines can and can’t do to win. Researchers aim to change that.
Machine Learning Research
What Language Models Know
Watson set a high bar for language understanding in 2011, when it famously whipped human competitors in the televised trivia game show Jeopardy! IBM’s special-purpose AI required around $1 billion. Research suggests that today’s best language models can accomplish similar tasks right off the shelf.
Machine Learning Research
Leveling the Playing Field
Deep reinforcement learning has given machines apparent hegemony in vintage Atari games, but their scores have been hard to compare — with one another or with human performance — because there are no rules governing what machines can and can’t do to win. Researchers aim to change that.
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.
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.
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.
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.
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.
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.
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.
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.
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