347 citations · 1k across the 30 of their papers we have counts for
5 papers · 1 filter
On the Morality of Artificial Intelligence
Alexandra Luccioni, Yoshua Bengio
Much of the existing research on the social and ethical impact of Artificial Intelligence has been focused on defining ethical principles and guidelines surrounding Machine Learnin…
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt +1
From an environmental standpoint, there are a few crucial aspects of training a neural network that have a major impact on the quantity of carbon that it emits. These factors inclu…
Establishing an Evaluation Metric to Quantify Climate Change Image Realism
Sharon Zhou, Alexandra Luccioni, Gautier Cosne +2
With success on controlled tasks, generative models are being increasingly applied to humanitarian applications [1,2]. In this paper, we focus on the evaluation of a conditional ge…
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack +19
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a po…
Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli +4
We present a project that aims to generate images that depict accurate, vivid, and personalized outcomes of climate change using Cycle-Consistent Adversarial Networks (CycleGANs).…