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Chinchillas, Flamingos, and Gatos: Few-Shot Learning through Pre-training
Oriol Vinyals

Three of our recent sequence models - Chinchilla, Flamingo, and Gato - leveraged one another and combined several state-of-the-art pre-training techniques. This talk will describe how this combination yielded even stronger capabilities to achieving complex tasks, in the few-shot setting, beyond what could have been expected from their training regimes.

Author Information

Oriol Vinyals (Google DeepMind)

Oriol Vinyals is a Research Scientist at Google. He works in deep learning with the Google Brain team. Oriol holds a Ph.D. in EECS from University of California, Berkeley, and a Masters degree from University of California, San Diego. He is a recipient of the 2011 Microsoft Research PhD Fellowship. He was an early adopter of the new deep learning wave at Berkeley, and in his thesis he focused on non-convex optimization and recurrent neural networks. At Google Brain he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on machine learning, language, and vision.

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