Carbon Footprint of Selecting and Training Deep Learning Models for
Medical Image Analysis

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

4 March 2022

Raghavendra Selvan

Lasse F. Wolff Anthony

Benjamin Kanding

Papers citing "Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis"

13 / 13 papers shown

Title
Compute Trends Across Three Eras of Machine Learning J. Sevilla Lennart Heim A. Ho T. Besiroglu Marius Hobbhahn Pablo Villalobos 58 276 0 11 Feb 2022
HyperMorph: Amortized Hyperparameter Learning for Image Registration Andrew Hoopes Malte Hoffmann Bruce Fischl John Guttag Adrian Dalca 64 128 0 04 Jan 2021
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 28 305 0 06 Jul 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 61 444 0 31 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 118 42,038 0 03 Dec 2019
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 62 688 0 21 Oct 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 35 2,633 0 05 Jun 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 71 846 0 25 Feb 2019
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 116 1,779 0 10 Oct 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 72 762 0 17 Aug 2017
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning Tien-Ju Yang Yu-hsin Chen Vivienne Sze 3DV 63 737 0 16 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 939 76,547 0 18 May 2015
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 138 16,311 0 30 Apr 2014