Objects of violence: synthetic data for practical ML in human rights investigations

no code implementations • 1 Apr 2020 • Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kochetkov, Rafael Pardinas, Eyal Weizman, Julien Cornebise

We introduce a machine learning workflow to search for, identify, and meaningfully triage videos and images of munitions, weapons, and military equipment, even when limited training data exists for the object of interest.

DECoVaC: Design of Experiments with Controlled Variability Components

no code implementations • 21 Sep 2019 • Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris Oreshkin, Julien Cornebise

Reproducible research in Machine Learning has seen a salutary abundance of progress lately: workflows, transparency, and statistical analysis of validation and test performance.

BIG-bench Machine Learning Experimental Design