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Séminaire A3SI - Alexei Efros
Séminaire A3SI - Alexei Efros
29-mai-2018 15:30
Il y a: 52 days

Alexei Efros (UC Berkeley)

Self-supervision, Meta-supervision, Curiosity: Making Computers Study Harder

Seminar room B412 of the IMAGINE group (ENPC - Bat. Coriolis)

Abstract: Computer vision has made impressive gains through the use of deep learning models, trained with large-scale labeled data. However, labels require expertise and curation and are expensive to collect. Even worse, direct semantic supervision often leads the learning algorithms "cheating" and taking shortcuts, instead of actually doing the work. In this talk, I will briefly summarize several of my group's efforts to combat this using self-supervision, meta-supervision, and curiosity — all ways of using the data as its own supervision. These lead to practical applications in image synthesis, image forensics, audio-visual source separation, etc.

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