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1911.09464
Cited By
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Quantization Networks
Computer Vision and Pattern Recognition (CVPR), 2019
21 November 2019
Jiwei Yang
Xu Shen
Jun Xing
Xinmei Tian
Houqiang Li
Bing Deng
Jianqiang Huang
Xiansheng Hua
MQ
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Papers citing
"Quantization Networks"
50 / 173 papers shown
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training
Saurabh Farkya
Aswin Raghavan
Avi Ziskind
257
0
0
30 Nov 2023
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks
Kartik Gupta
Akshay Asthana
MQ
127
13
0
09 Nov 2023
Fully Quantized Always-on Face Detector Considering Mobile Image Sensors
Haechang Lee
Wongi Jeong
Dongil Ryu
Hyunwoo Je
Albert No
Kijeong Kim
Se Young Chun
CVBM
234
0
0
02 Nov 2023
QuATON: Quantization Aware Training of Optical Neurons
Research Square (RS), 2023
Hasindu Kariyawasam
Ramith Hettiarachchi
Quansan Yang
Alex Matlock
Takahiro Nambara
Hiroyuki Kusaka
Yuichiro Kunai
Peter T C So
Edward S Boyden
D. Wadduwage
MQ
234
2
0
04 Oct 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
Debanjan Konar
Dheeraj Peddireddy
Vaneet Aggarwal
B. K. Panigrahi
230
1
0
02 Oct 2023
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices
Micro (MICRO), 2023
Hao Sun
Geng Yuan
Tomoharu Yamauchi
Zabihi Masoud
Yanyue Xie
...
Xulong Tang
Nobuyuki Yoshikawa
Devesh Tiwari
Yanzhi Wang
O. Chen
MQ
263
5
0
21 Sep 2023
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
Liao Zhu
Victor Quétu
Van-Tam Nguyen
Enzo Tartaglione
207
29
0
12 Aug 2023
Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy
IEEE International Conference on Computer Vision (ICCV), 2023
Shibo Jie
Haoqing Wang
Zhiwei Deng
179
44
0
31 Jul 2023
YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices
Image and Vision Computing (IVC), 2023
Kai Su
Yoichi Tomioka
Qiang Zhao
Yong Liu
173
9
0
13 Jul 2023
Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives
IEEE transactions on nanotechnology (IEEE Trans. Nanotechnol.), 2023
O. Krestinskaya
Li Zhang
K. Salama
182
13
0
08 Jul 2023
Binary domain generalization for sparsifying binary neural networks
Riccardo Schiavone
Francesco Galati
Maria A. Zuluaga
MQ
232
1
0
23 Jun 2023
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Ayan Shymyrbay
M. Fouda
Ahmed M. Eltawil
MQ
212
9
0
30 May 2023
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images
Pervasive and Mobile Computing (PMC), 2023
M. Campana
Marco Colussi
Franca Delmastro
S. Mascetti
Elena Pagani
185
16
0
29 May 2023
VanillaNet: the Power of Minimalism in Deep Learning
Neural Information Processing Systems (NeurIPS), 2023
Hanting Chen
Yunhe Wang
Jianyuan Guo
Dacheng Tao
VLM
270
170
0
22 May 2023
CrAFT: Compression-Aware Fine-Tuning for Efficient Visual Task Adaptation
J. Heo
S. Azizi
A. Fayyazi
Massoud Pedram
234
1
0
08 May 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
IEEE Communications Surveys and Tutorials (COMST), 2023
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
288
66
0
13 Apr 2023
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Di Wu
R. Ullah
Philip Rodgers
Peter Kilpatrick
I. Spence
Blesson Varghese
FedML
309
8
0
11 Apr 2023
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Michael Weiss
Paolo Tonella
AI4CE
191
1
0
05 Apr 2023
Scaling strategies for on-device low-complexity source separation with Conv-Tasnet
Mohamed Nabih Ali
Francesco Paissan
Daniele Falavigna
Alessio Brutti
169
2
0
06 Mar 2023
Learning Discretized Neural Networks under Ricci Flow
Jun Chen
Han Chen
Mengmeng Wang
Guang Dai
Ivor W. Tsang
Wenshu Fan
323
5
0
07 Feb 2023
Clustered Embedding Learning for Recommender Systems
The Web Conference (WWW), 2023
Yizhou Chen
Guangda Huzhang
Anxiang Zeng
Qingtao Yu
Hui Sun
Hengyi Li
Jingyi Li
Yabo Ni
Han Yu
Zhiming Zhou
238
13
0
03 Feb 2023
Training with Mixed-Precision Floating-Point Assignments
Wonyeol Lee
Rahul Sharma
A. Aiken
MQ
258
7
0
31 Jan 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Xinjian Zhao
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
607
37
0
22 Jan 2023
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Md. Ismail Hossain
Mohammed Rakib
M. M. L. Elahi
Nabeel Mohammed
Shafin Rahman
302
4
0
24 Dec 2022
Hyperspherical Loss-Aware Ternary Quantization
Dan Liu
Xue Liu
MQ
171
0
0
24 Dec 2022
PD-Quant: Post-Training Quantization based on Prediction Difference Metric
Computer Vision and Pattern Recognition (CVPR), 2022
Jiawei Liu
Lin Niu
Zhihang Yuan
Dawei Yang
Xinggang Wang
Wenyu Liu
MQ
519
96
0
14 Dec 2022
Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer
IEEE International Conference on Computer Vision (ICCV), 2022
Sheng Su
Lin Gu
Yue Yang
Ze Zhang
Tatsuya Harada
446
1
0
07 Dec 2022
Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models
Engineering applications of artificial intelligence (EAAI), 2022
S. Magalhães
Filipe Neves dos Santos
P. Machado
António Paulo Moreira
Jorge Dias
170
26
0
21 Nov 2022
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Jin Zhang
Feng Zhang
G. Yu
...
Mingyang Qian
Huixin Ma
Yanan Li
Xiaotao Wang
Lei Lei
175
13
0
07 Nov 2022
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Cheng-Ming Chiang
Hsien-Kai Kuo
Yu-Syuan Xu
...
Kele Xu
Li Liu
Zehua Cheng
Wenyi Lian
W. Lian
SupR
237
15
0
07 Nov 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Maurizio Denna
Abdelbadie Younes
Ganzorig Gankhuyag
...
Jing Liu
Garas Gendy
Nabil Sabor
J. Hou
Guanghui He
SupR
MQ
204
38
0
07 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Lukasz Treszczotko
Xin-ke Chang
...
Dongwon Park
Seongmin Hong
Joonhee Lee
Seunggyu Lee
Sengsub Chun
163
21
0
07 Nov 2022
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Radu Timofte
Shuai Liu
Chaoyu Feng
Furui Bai
...
Xin Lou
Wei Zhou
Cong Pang
Haina Qin
Mingxuan Cai
240
34
0
07 Nov 2022
Weight Fixing Networks
European Conference on Computer Vision (ECCV), 2022
Christopher Subia-Waud
S. Dasmahapatra
MQ
242
2
0
24 Oct 2022
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
International Conference on Machine Learning and Applications (ICMLA), 2022
Cecilia Latotzke
Batuhan Balim
T. Gemmeke
MQ
76
3
0
14 Oct 2022
Seeking Interpretability and Explainability in Binary Activated Neural Networks
Benjamin Leblanc
Pascal Germain
FAtt
460
1
0
07 Sep 2022
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA
International Conference on Field-Programmable Logic and Applications (FPL), 2022
Cecilia Latotzke
Tim Ciesielski
T. Gemmeke
MQ
190
12
0
09 Aug 2022
Privacy-Preserving Action Recognition via Motion Difference Quantization
European Conference on Computer Vision (ECCV), 2022
Sudhakar Kumawat
Hajime Nagahara
MQ
272
23
0
04 Aug 2022
Sparsifying Binary Networks
Riccardo Schiavone
Maria A. Zuluaga
MQ
142
0
0
11 Jul 2022
FedHeN: Federated Learning in Heterogeneous Networks
D. A. E. Acar
Venkatesh Saligrama
FedML
94
1
0
07 Jul 2022
Not All Lotteries Are Made Equal
Surya Kant Sahu
Sai Mitheran
Somya Suhans Mahapatra
87
1
0
16 Jun 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
International Conference on Learning Representations (ICLR), 2022
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
313
189
0
26 May 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks
Kinshuk Dua
FedML
MQ
168
0
0
19 May 2022
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Babak Rokh
A. Azarpeyvand
Alireza Khanteymoori
MQ
470
180
0
14 May 2022
Overcoming Oscillations in Quantization-Aware Training
International Conference on Machine Learning (ICML), 2022
Markus Nagel
Marios Fournarakis
Yelysei Bondarenko
Tijmen Blankevoort
MQ
385
146
0
21 Mar 2022
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space
Jonas Löhdefink
Tim Fingscheidt
276
2
0
17 Jan 2022
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
ACM Computing Surveys (CSUR), 2021
JunKyu Lee
L. Mukhanov
A. S. Molahosseini
U. Minhas
Yang Hua
Jesus Martinez del Rincon
K. Dichev
Cheol-Ho Hong
Hans Vandierendonck
193
38
0
30 Dec 2021
Elastic-Link for Binarized Neural Network
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jie Hu
Ziheng Wu
Vince Tan
Zhilin Lu
Mengze Zeng
Enhua Wu
MQ
251
6
0
19 Dec 2021
Decomposing the Deep: Finding Class Specific Filters in Deep CNNs
Akshay Badola
Cherian Roy
V. Padmanabhan
R. Lal
FAtt
214
2
0
14 Dec 2021
Sharpness-aware Quantization for Deep Neural Networks
Jing Liu
Jianfei Cai
Bohan Zhuang
MQ
483
27
0
24 Nov 2021
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