Vivien Cabannes

POSTDOCTORAL RESEARCHER | NEW YORK CITY, UNITED STATES

Vivien Cabannes is a researcher in core machine learning. His interests include learning with few human annotations (weakly supervised learning, representation learning, active learning), as well as understanding the inner workings of deployed machine learning methods.

Research Areas

Vivien's Publications

June 26, 2023

CORE MACHINE LEARNING

The SSL Interplay: Augmentations, Inductive Bias, and Generalization

Vivien Cabannes, Bobak Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti

June 26, 2023