Towards the Systematic Reporting of the Energy and Carbon Footprints of
Machine Learning

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

31 January 2020

Peter Henderson

Dan Jurafsky

Papers citing "Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning"

5 / 55 papers shown

Title
Efficient Explanations from Empirical Explainers Robert Schwarzenberg Nils Feldhus Sebastian Möller FAtt 32 9 0 29 Mar 2021
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 23 80 0 13 Oct 2020
Sponge Examples: Energy-Latency Attacks on Neural Networks Ilia Shumailov Yiren Zhao Daniel Bates Nicolas Papernot Robert D. Mullins Ross J. Anderson SILM 19 127 0 05 Jun 2020
When BERT Plays the Lottery, All Tickets Are Winning Sai Prasanna Anna Rogers Anna Rumshisky MILM 16 186 0 01 May 2020
HarDNet: A Low Memory Traffic Network P. Chao Chao-Yang Kao Yunxing Ruan Chien-Hsiang Huang Y. Lin 198 267 0 03 Sep 2019