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1710.09282
Cited By
A Survey of Model Compression and Acceleration for Deep Neural Networks
23 October 2017
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
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Papers citing
"A Survey of Model Compression and Acceleration for Deep Neural Networks"
31 / 130 papers shown
Title
A Survey on Contextual Embeddings
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Matt J. Kusner
Phil Blunsom
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Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Charles H. Martin
Tongsu Peng
Peng
Michael W. Mahoney
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101
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17 Feb 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu
Anbu Huang
Yu Luo
He Huang
Youzhi Liu
Yuanyuan Chen
Lican Feng
Tianjian Chen
Hang Yu
Qiang Yang
FedML
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299
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17 Jan 2020
Fast Sparse ConvNets
Erich Elsen
Marat Dukhan
Trevor Gale
Karen Simonyan
21
151
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21 Nov 2019
Collaborative Distillation for Top-N Recommendation
Jae-woong Lee
Minjin Choi
Jongwuk Lee
Hyunjung Shim
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13 Nov 2019
Robust and Computationally-Efficient Anomaly Detection using Powers-of-Two Networks
Usama Muneeb
Erdem Koyuncu
Yasaman Keshtkarjahromi
H. Seferoglu
M. F. Erden
Ahmet Enis Cetin
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6
0
30 Oct 2019
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection
Flavio Martinelli
Giorgia Dellaferrera
Pablo Mainar
Milos Cernak
19
29
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22 Oct 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Yihui He
Jianing Qian
Jianren Wang
Cindy X. Le
Congrui Hetang
Qi Lyu
Wenping Wang
Tianwei Yue
45
11
0
21 Oct 2019
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
30
378
0
31 Jul 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
...
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
49
92
0
27 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
Pierre Stock
Armand Joulin
Rémi Gribonval
Benjamin Graham
Hervé Jégou
MQ
29
149
0
12 Jul 2019
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network
Md. Mostafa Kamal Sarker
Hatem A. Rashwan
Farhan Akram
V. Singh
Syeda Furruka Banu
...
Kabir Ahmed Choudhury
Sylvie Chambon
P. Radeva
D. Puig
M. Abdel-Nasser
GAN
MedIm
36
27
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01 Jul 2019
BasisConv: A method for compressed representation and learning in CNNs
M. Tayyab
Abhijit Mahalanobis
3DPC
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16
6
0
11 Jun 2019
OpenEI: An Open Framework for Edge Intelligence
Xingzhou Zhang
Yifan Wang
Sidi Lu
Liangkai Liu
Lanyu Xu
Weisong Shi
21
101
0
05 Jun 2019
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation
J. Karlekar
Jiashi Feng
Zi Sian Wong
Sugiri Pranata
CVBM
21
13
0
03 Jun 2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
...
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
MQ
11
21
0
15 May 2019
Feature Fusion for Online Mutual Knowledge Distillation
Jangho Kim
Minsung Hyun
Inseop Chung
Nojun Kwak
FedML
26
91
0
19 Apr 2019
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
Masataro Asai
Hiroshi Kajino
14
15
0
27 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu-Hu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
21
295
0
28 Feb 2019
Efficient Video Classification Using Fewer Frames
S. Bhardwaj
Mukundhan Srinivasan
Mitesh M. Khapra
40
88
0
27 Feb 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access
Arthur Stoutchinin
Francesco Conti
Luca Benini
28
43
0
04 Feb 2019
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
Qing Qin
Jie Ren
Jia-Le Yu
Ling Gao
Hai Wang
Jie Zheng
Yansong Feng
Jianbin Fang
Zheng Wang
11
21
0
21 Oct 2018
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions
Jinhyeok Jang
Hyunjoong Cho
Jaehong Kim
Jaeyeon Lee
Seungjoon Yang
18
2
0
11 Sep 2018
Deep Learning Towards Mobile Applications
Ji Wang
Bokai Cao
Philip S. Yu
Lichao Sun
Weidong Bao
Xiaomin Zhu
HAI
24
98
0
10 Sep 2018
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Kai Y. Xiao
Vincent Tjeng
Nur Muhammad (Mahi) Shafiullah
A. Madry
AAML
OOD
12
199
0
09 Sep 2018
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
Huiyuan Zhuo
Xuelin Qian
Yanwei Fu
Heng Yang
Xiangyang Xue
19
37
0
14 Jun 2018
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
Jiahao Su
Jingling Li
Bobby Bhattacharjee
Furong Huang
16
20
0
25 May 2018
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan
Nicolas Weber
Michael Goesele
Stefan Roth
55
90
0
11 Apr 2018
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision
Sathya Ravi
Tuan Dinh
Vishnu Suresh Lokhande
Vikas Singh
AI4CE
33
22
0
17 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
36
1,303
0
12 Mar 2018
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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