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2010.05248
Cited By
Towards Accurate and Reliable Energy Measurement of NLP Models
11 October 2020
Qingqing Cao
A. Balasubramanian
Niranjan Balasubramanian
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Papers citing
"Towards Accurate and Reliable Energy Measurement of NLP Models"
12 / 12 papers shown
Title
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
Zhiqing Sun
Hongkun Yu
Xiaodan Song
Renjie Liu
Yiming Yang
Denny Zhou
MQ
109
817
0
06 Apr 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
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
529
42,559
0
03 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
459
20,298
0
23 Oct 2019
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
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
674
24,541
0
26 Jul 2019
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
116
1,148
0
22 Jul 2019
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell
Ananya Ganesh
Andrew McCallum
73
2,660
0
05 Jun 2019
Power-Performance Tradeoffs in Data Center Servers: DVFS, CPU pinning, Horizontal, and Vertical Scaling
Jakub Krzywda
Ahmed Ali-Eldin
Trevor E. Carlson
Per-Olov Östberg
E. Elmroth
18
52
0
13 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.8K
95,114
0
11 Oct 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
312
8,169
0
16 Jun 2016
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