Energy Usage Reports: Environmental awareness as part of algorithmic accountability

19 November 2019

Papers citing "Energy Usage Reports: Environmental awareness as part of algorithmic accountability"

8 / 8 papers shown

Title
Hyperparameter Importance Analysis for Multi-Objective AutoML Daphne Theodorakopoulos Frederic Stahl Marius Lindauer 87 3 0 03 Jan 2025
TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese N. Corrêa Sophia Falk Shiza Fatimah Aniket Sen N. D. Oliveira 30 9 0 30 Jan 2024
Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models M. Kamruzzaman Gene Louis Kim 26 1 0 03 Aug 2023
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning A. Luccioni Alex Hernandez-Garcia 34 45 0 16 Feb 2023
AI2: The next leap toward native language based and explainable machine learning framework J. Dessureault Daniel Massicotte 16 1 0 09 Jan 2023
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 195 22 0 20 Oct 2022
Towards Climate Awareness in NLP Research Daniel Hershcovich Nicolas Webersinke Mathias Kraus J. Bingler Markus Leippold 35 32 0 10 May 2022
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models Omar Shaikh Jon Saad-Falcon Austin P. Wright Nilaksh Das Scott Freitas O. Asensio Duen Horng Chau 27 18 0 30 Mar 2021