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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...
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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...
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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...
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09/21/2019
DECoVaC: Design of Experiments with Controlled Variability Components
Reproducible research in Machine Learning has seen a salutary abundance ...
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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...
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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...
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05/20/2015
Weight Uncertainty in Neural Networks
We introduce a new, efficient, principled and backpropagation-compatible...
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10/30/2010