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1808.01550
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Designing Adaptive Neural Networks for Energy-Constrained Image Classification
5 August 2018
Dimitrios Stamoulis
Ting-Wu Chin
Anand P. Krishnan
Haocheng Fang
S. Sajja
Mitchell Bognar
Diana Marculescu
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Papers citing
"Designing Adaptive Neural Networks for Energy-Constrained Image Classification"
30 / 30 papers shown
A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection
International Symposium on Industrial Embedded Systems (ISIES), 2024
Vladislav Li
Georgios Tsoumplekas
Ilias Siniosoglou
Vasileios Argyriou
A. Lytos
Eleftherios Fountoukidis
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350
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NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Matteo Gambella
Jary Pomponi
Simone Scardapane
Manuel Roveri
457
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0
24 Jan 2024
MultiTASC: A Multi-Tenancy-Aware Scheduler for Cascaded DNN Inference at the Consumer Edge
International Symposium on Computers and Communications (ISCC), 2023
Sokratis Nikolaidis
Stylianos I. Venieris
I. Venieris
272
2
0
22 Jun 2023
A Systematic Review of Green AI
Roberto Verdecchia
June Sallou
Luís Cruz
450
302
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26 Jan 2023
DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer
Hongyi Pan
Xin Zhu
S. Atici
Ahmet Enis Cetin
347
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15 Nov 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Proceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
441
165
0
16 May 2022
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks
ACM Transactions on Embedded Computing Systems (TECS), 2022
Hongyi Pan
Diaa Badawi
Ahmet Enis Cetin
350
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0
07 Jan 2022
Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement
Yang Bai
Lixing Chen
Shaolei Ren
Jie Xu
218
0
0
11 Dec 2021
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
A. Hernández
I. Nieuwenhuyse
Sebastian Rojas Gonzalez
337
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23 Nov 2021
Towards Green Automated Machine Learning: Status Quo and Future Directions
Journal of Artificial Intelligence Research (JAIR), 2021
Tanja Tornede
Alexander Tornede
Jonas Hanselle
Marcel Wever
F. Mohr
Eyke Hüllermeier
476
52
0
10 Nov 2021
Sustainable AI: Environmental Implications, Challenges and Opportunities
Conference on Machine Learning and Systems (MLSys), 2021
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
...
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
512
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30 Oct 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Shucheng Zhou
FaML
499
272
0
12 Jul 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
Design Automation Conference (DAC), 2021
Min Li
Yu Li
Ye Tian
Li Jiang
Qiang Xu
305
45
0
10 May 2021
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks
Hongyi Pan
Diaa Badawi
Ahmet Enis Cetin
434
28
0
14 Apr 2021
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
IEEE design & test (DT), 2021
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
302
44
0
25 Mar 2021
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms
Nitthilan Kanappan Jayakodi
J. Doppa
P. Pande
GAN
185
5
0
23 Mar 2021
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks
Fuxun Yu
Dimitrios Stamoulis
Di Wang
Dimitrios Lymberopoulos
Xiang Chen
3DV
220
1
0
22 Nov 2020
Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks
R. G. Pacheco
R. S. Couto
Osvaldo Simeone
255
28
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30 Oct 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning
Micro (MICRO), 2020
Sheng-Chun Kao
Geonhwa Jeong
T. Krishna
350
114
0
04 Sep 2020
One Weight Bitwidth to Rule Them All
Ting-Wu Chin
P. Chuang
Vikas Chandra
Diana Marculescu
MQ
281
26
0
22 Aug 2020
Surprisal-Triggered Conditional Computation with Neural Networks
Loren Lugosch
Derek Nowrouzezahrai
B. Meyer
262
6
0
02 Jun 2020
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens
Computer Vision and Pattern Recognition (CVPR), 2020
Zhaohui Yang
Yunhe Wang
Xinghao Chen
Jianyuan Guo
Wei Zhang
Chao Xu
Chunjing Xu
Dacheng Tao
Chang Xu
411
17
0
29 May 2020
Why should we add early exits to neural networks?
Cognitive Computation (Cogn Comput), 2020
Simone Scardapane
M. Scarpiniti
E. Baccarelli
A. Uncini
442
140
0
27 Apr 2020
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019
Dimitrios Stamoulis
Ruizhou Ding
Di Wang
Dimitrios Lymberopoulos
B. Priyantha
J. Tang
Diana Marculescu
208
36
0
01 Jul 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Proceedings of the IEEE (Proc. IEEE), 2019
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
417
1,761
0
24 May 2019
Single-Path NAS: Device-Aware Efficient ConvNet Design
Dimitrios Stamoulis
Ruizhou Ding
Di Wang
Dimitrios Lymberopoulos
B. Priyantha
J. Tang
Diana Marculescu
197
18
0
10 May 2019
Towards Efficient Model Compression via Learned Global Ranking
Computer Vision and Pattern Recognition (CVPR), 2019
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
259
188
0
28 Apr 2019
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Dimitrios Stamoulis
Ruizhou Ding
Di Wang
Dimitrios Lymberopoulos
B. Priyantha
J. Tang
Diana Marculescu
348
291
0
05 Apr 2019
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference
Ruizhou Ding
Z. Liu
Ting-Wu Chin
Diana Marculescu
R. D.
R. D. Blanton
MQ
157
26
0
05 Apr 2019
Hardware-Aware Machine Learning: Modeling and Optimization
Diana Marculescu
Dimitrios Stamoulis
E. Cai
162
50
0
14 Sep 2018
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