Marc'Aurelio Ranzato

Marc'Auerelio is a research scientist and manager at the Facebook AI Research (FAIR) lab, where he works to enable machines to learn with weaker supervision and to efficiently transfer knowledge across tasks. He is originally from Padova, Italy, and holds a Ph.D. in computer science from New York University.

Marc'Aurelio's Publications

April 07, 2020

RESEARCH

COMPUTER VISION

Task-Driven Modular Networks for Zero-Shot Compositional Learning

One of the hallmarks of human intelligence is the ability to compose learned knowledge into novel concepts which can be recognized without a single training example. In contrast, current state-of-the-art methods require hundreds of training…

Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato,

April 07, 2020

April 07, 2020

RESEARCH

COMPUTER VISION

Mixture Models for Diverse Machine Translation: Tricks of the Trade

Mixture models trained via EM are among the simplest, most widely used and well understood latent variable models in the machine learning literature. Surprisingly, these models have been hardly explored in text generation applications such as…

Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato,

April 07, 2020

April 07, 2020

RESEARCH

COMPUTER VISION

Efficient Lifelong Learning with A-GEM

In lifelong learning, the learner is presented with a sequence of tasks, incrementally building a data-driven prior which may be leveraged to speed up learning of a new task. In this work, we investigate the efficiency of current lifelong…

Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny,

April 07, 2020