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Watt For What: Rethinking Deep Learning's Energy-Performance
  Relationship

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship

10 October 2023
Shreyank N. Gowda
Xinyue Hao
Gen Li
Laura Sevilla-Lara
Shashank Narayana Gowda
    HAI
ArXivPDFHTML

Papers citing "Watt For What: Rethinking Deep Learning's Energy-Performance Relationship"

34 / 34 papers shown
Title
Principles of Visual Tokens for Efficient Video Understanding
Principles of Visual Tokens for Efficient Video Understanding
Xinyue Hao
Gen Li
Shreyank N. Gowda
Robert B Fisher
Jonathan Huang
Anurag Arnab
Laura Sevilla-Lara
123
0
0
20 Nov 2024
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
Sunder Ali Khowaja
P. Khuwaja
Kapal Dev
Weizheng Wang
Lewis Nkenyereye
61
81
0
13 Apr 2023
Accuracy is not the only Metric that matters: Estimating the Energy
  Consumption of Deep Learning Models
Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models
Johannes Getzner
Bertrand Charpentier
Stephan Günnemann
40
5
0
03 Apr 2023
Uncovering Energy-Efficient Practices in Deep Learning Training:
  Preliminary Steps Towards Green AI
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI
Tim Yarally
Luís Cruz
Daniel Feitosa
June Sallou
A. V. Deursen
33
22
0
24 Mar 2023
Eco2AI: carbon emissions tracking of machine learning models as the
  first step towards sustainable AI
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
S. Budennyy
V. Lazarev
N. Zakharenko
A. Korovin
Olga Plosskaya
...
Ivan Oseledets
I. Barsola
Ilya M. Egorov
A. Kosterina
L. Zhukov
62
94
0
31 Jul 2022
EfficientFormer: Vision Transformers at MobileNet Speed
EfficientFormer: Vision Transformers at MobileNet Speed
Yanyu Li
Geng Yuan
Yang Wen
Eric Hu
Georgios Evangelidis
Sergey Tulyakov
Yanzhi Wang
Jian Ren
ViT
59
360
0
02 Jun 2022
DaViT: Dual Attention Vision Transformers
DaViT: Dual Attention Vision Transformers
Mingyu Ding
Bin Xiao
Noel Codella
Ping Luo
Jingdong Wang
Lu Yuan
ViT
90
248
0
07 Apr 2022
Neural Network Quantization for Efficient Inference: A Survey
Neural Network Quantization for Efficient Inference: A Survey
Olivia Weng
MQ
40
23
0
08 Dec 2021
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
186
2,315
0
02 Dec 2021
The Efficiency Misnomer
The Efficiency Misnomer
Daoyuan Chen
Liuyi Yao
Dawei Gao
Ashish Vaswani
Yaliang Li
74
101
0
25 Oct 2021
Unraveling the Hidden Environmental Impacts of AI Solutions for
  Environment
Unraveling the Hidden Environmental Impacts of AI Solutions for Environment
Anne-Laure Ligozat
J. Lefèvre
Aurélie Bugeau
Jacques Combaz
40
96
0
22 Oct 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
175
2,790
0
15 Jun 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
275
692
0
22 Apr 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
318
658
0
21 Apr 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
327
2,016
0
09 Feb 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
300
6,657
0
23 Dec 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training
  Deep Learning Models
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Lasse F. Wolff Anthony
Benjamin Kanding
Raghavendra Selvan
HAI
38
305
0
06 Jul 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
243
1,045
0
06 Mar 2020
Quantifying the Carbon Emissions of Machine Learning
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
77
688
0
21 Oct 2019
Green AI
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
82
1,124
0
22 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
109
17,950
0
28 May 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
269
6,685
0
06 May 2019
ColorNet: Investigating the importance of color spaces for image
  classification
ColorNet: Investigating the importance of color spaces for image classification
Shreyank N. Gowda
C. Yuan
27
128
0
01 Feb 2019
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Zuxuan Wu
Caiming Xiong
Chih-Yao Ma
R. Socher
L. Davis
142
195
0
29 Nov 2018
Temporal Relational Reasoning in Videos
Temporal Relational Reasoning in Videos
Bolei Zhou
A. Andonian
Aude Oliva
Antonio Torralba
NAI
78
1,035
0
22 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
341
26,241
0
05 Sep 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
110
2,386
0
10 Jul 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
199
7,961
0
22 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,747
0
17 Apr 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
374
11,941
0
04 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
631
36,599
0
25 Aug 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
689
11,540
0
06 Apr 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
495
27,231
0
02 Dec 2015
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
223
7,518
0
09 Jun 2014
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