IrEne: Interpretable Energy Prediction for Transformers

2 June 2021

Papers citing "IrEne: Interpretable Energy Prediction for Transformers"

6 / 6 papers shown

Title
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 62 313 0 06 Jul 2020
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing Xiyou Zhou Zhiyu Zoey Chen Xiaoyong Jin Wenjie Wang 65 33 0 14 Feb 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 89 456 0 31 Jan 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 237 7,547 0 02 Oct 2019
Green AI Roy Schwartz Jesse Dodge Noah A. Smith Oren Etzioni 116 1,148 0 22 Jul 2019
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016