research
∙
06/20/2023
Opportunities and Risks of LLMs for Scalable Deliberation with Polis
Polis is a platform that leverages machine intelligence to scale up deli...
share
research
∙
07/13/2022
Open High-Resolution Satellite Imagery: The WorldStrat Dataset – With Application to Super-Resolution
Analyzing the planet at scale with satellite imagery and machine learnin...
research
∙
04/01/2020
Objects of violence: synthetic data for practical ML in human rights investigations
We introduce a machine learning workflow to search for, identify, and me...
research
∙
09/21/2019
DECoVaC: Design of Experiments with Controlled Variability Components
Reproducible research in Machine Learning has seen a salutary abundance ...
research
∙
01/31/2019
A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter
We report the first, to the best of our knowledge, hand-in-hand collabor...
research
∙
12/28/2015
Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation
This paper describes a framework for modeling the interface between perc...
research
∙
05/20/2015
Weight Uncertainty in Neural Networks
We introduce a new, efficient, principled and backpropagation-compatible...
research
∙
10/30/2010
