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.
October 28, 2019
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,
October 28, 2019
October 28, 2019
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,
October 28, 2019
May 06, 2019
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,
May 06, 2019