MIT researchers have proposed a technique for shrinking deep learning models that they say is simpler and produces more accurate results than state-of-the-art methods. It works by retraining the small

2536 leaderboards • 1515 tasks • 2294 datasets • 23255 papers with code.

Dr Luciano Zuccarello grew up in the shadow of Mount Etna, an active volcano on the Italian island of Sicily. Farms and orchards ring the lower slopes of the volcano, where the fertile soil is ideal f...

Code repository for the Animal AI Olympics competition - beyretb/AnimalAI-Olympics

Posted by Thomas Müller, Software Engineer, Google Research Much of the world’s information is stored in the form of tables, which can b...

Learning to predict rewards is essential for the survival of animals. Contemporary views suggest that such learning is driven by a reward prediction error—the difference between received and predicted...

At the beginning of every month, we decipher three research papers from the fields of machine learning, deep learning and artificial intelligence, that left the biggest impact on us in the previous mo...

Self-supervised learning could lead to the creation of AI that’s more humanlike in its reasoning, according to Turing Award winners Yoshua Bengio and Yann LeCun. Bengio, director at the Montr…