Generative Data Intelligence

Tag: neural network

Learning to navigate in cities without a map

Learning navigation without building maps We depart from the traditional approaches which rely on explicit mapping and exploration (like a cartographer who tries to...

DeepMind papers at NIPS 2017

A simple neural network module for relational reasoning Authors: Adam Santoro, David Raposo, David Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap “We demonstrate...

Population based training of neural networks

Neural networks have shown great success in everything from playing Go and Atari games to image recognition and language translation. But often overlooked...

AlphaGo Zero: Starting from scratch

It is able to do this by using a novel form of reinforcement learning, in which AlphaGo Zero becomes its own teacher. The...

Imagine this: Creating new visual concepts by recombining familiar ones

Around two and a half thousand years ago a Mesopotamian trader gathered some clay, wood and reeds and changed humanity forever. Over time,...

A closer look at Unbabel’s award-winning translation quality estimation systems

We have a huge vision for Unbabel — to provide human-quality translations at the scale of machine translation. But how do we know...

Adaptation, Adaptation, Adaptation: Why companies trust Unbabel to deliver multi-lingual customer communications

Many big companies like Google, Microsoft, Yahoo, Yandex, eBay and Amazon create and train general purpose Machine Translation (MT) systems, which use billions...

DeepMind Papers @ NIPS (Part 2)

Learning to learn by gradient descent gradient descent Authors: Marcin Andrychowicz, Misha Denil, Sergio Gomez, Matthew Hoffman, David Pfau, Tom Schaul, Nando De Freitas Optimization algorithms...

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