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MnasNet: Platform-Aware Neural Architecture Search for Mobile

MnasNet: Platform-Aware Neural Architecture Search for Mobile

31 July 2018
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
    MQ
ArXivPDFHTML

Papers citing "MnasNet: Platform-Aware Neural Architecture Search for Mobile"

50 / 456 papers shown
Title
Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction
Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction
Changjun Li
Runqing Jiang
Zhuo Song
Pengpeng Yu
Ye Zhang
Yulan Guo
MQ
56
0
0
01 May 2025
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
Lotfi Abdelkrim Mecharbat
Ibrahim Almakky
Martin Takac
Mohammad Yaqub
30
0
0
22 Apr 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models
Y. Cai
Ziqi Zhang
Ding Li
Yao Guo
Xiangqun Chen
50
0
0
13 Mar 2025
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time
Matteo Risso
Alessio Burrello
Daniele Jahier Pagliari
41
0
0
24 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shinýa Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
144
5
0
21 Feb 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey
Vision-Language Models for Edge Networks: A Comprehensive Survey
Ahmed Sharshar
Latif U. Khan
Waseem Ullah
Mohsen Guizani
VLM
70
3
0
11 Feb 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Mohamed Djilani
Salah Ghamizi
Maxime Cordy
43
0
0
31 Dec 2024
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI
Zhengdong Li
Frederick Ziyang Hong
C. Patrick Yue
26
0
0
31 Dec 2024
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
J. B. Graham-Knight
Jamil Fayyad
Nourhan Bayasi
Patricia Lasserre
H. Najjaran
35
0
0
04 Nov 2024
Combining Neural Architecture Search and Automatic Code Optimization: A
  Survey
Combining Neural Architecture Search and Automatic Code Optimization: A Survey
Inas Bachiri
Hadjer Benmeziane
Smail Niar
Riyadh Baghdadi
Hamza Ouarnoughi
Abdelkrime Aries
40
0
0
07 Aug 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
VLM
60
4
0
30 Jul 2024
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification
Omar S. El-Assiouti
Ghada Hamed
Dina Khattab
H. M. Ebied
37
1
0
10 Jul 2024
DεpS: Delayed ε-Shrinking for Faster Once-For-All
  Training
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training
Aditya Annavajjala
Alind Khare
Animesh Agrawal
Igor Fedorov
Hugo Latapie
Myungjin Lee
Alexey Tumanov
CLL
42
0
0
08 Jul 2024
Younger: The First Dataset for Artificial Intelligence-Generated Neural
  Network Architecture
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture
Zhengxin Yang
Wanling Gao
Luzhou Peng
Yunyou Huang
Fei Tang
Jianfeng Zhan
33
0
0
20 Jun 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines
The 3D-PC: a benchmark for visual perspective taking in humans and machines
Drew Linsley
Peisen Zhou
A. Ashok
Akash Nagaraj
Gaurav Gaonkar
Francis E Lewis
Zygmunt Pizlo
Thomas Serre
48
6
0
06 Jun 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity
  Allocation with Global Constraint in Minutes
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
Ruihao Gong
Yang Yong
Zining Wang
Jinyang Guo
Xiuying Wei
Yuqing Ma
Xianglong Liu
31
5
0
09 May 2024
Enhancing User Experience in On-Device Machine Learning with Gated
  Compression Layers
Enhancing User Experience in On-Device Machine Learning with Gated Compression Layers
Haiguang Li
Usama Pervaiz
Joseph Antognini
Michal Matuszak
Lawrence Au
Gilles Roux
T. Thormundsson
40
0
0
02 May 2024
CSCO: Connectivity Search of Convolutional Operators
CSCO: Connectivity Search of Convolutional Operators
Tunhou Zhang
Shiyu Li
Hsin-Pai Cheng
Feng Yan
Hai Helen Li
Yiran Chen
34
0
0
26 Apr 2024
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
Afzal Ahmad
Linfeng Du
Zhiyao Xie
Wei Zhang
18
0
0
09 Apr 2024
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph
  Convolution Networks for Efficient Neural Architecture Search
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search
Ye Qiao
Haocheng Xu
Sitao Huang
19
0
0
30 Mar 2024
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search
Hongyuan Yu
Cheng Wan
Mengchen Liu
Dongdong Chen
Bin Xiao
Xiyang Dai
Yan Huang
Yuan Lu
Liang Wang
71
5
0
15 Mar 2024
Robustifying and Boosting Training-Free Neural Architecture Search
Robustifying and Boosting Training-Free Neural Architecture Search
Zhenfeng He
Yao Shu
Zhongxiang Dai
K. H. Low
32
1
0
12 Mar 2024
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network
  Growth
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
Juan Zou
Weiwei Jiang
Yizhang Xia
Yuan Liu
Zhanglu Hou
23
0
0
05 Mar 2024
Multi-objective Differentiable Neural Architecture Search
Multi-objective Differentiable Neural Architecture Search
R. Sukthanker
Arber Zela
B. Staffler
Samuel Dooley
Josif Grabocka
Frank Hutter
40
1
0
28 Feb 2024
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via
  Automating Deep Neural Network Porting for Mobile Deployment
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
Hongtao Huang
Xiaojun Chang
Wen Hu
Lina Yao
30
0
0
21 Feb 2024
Fingerprint Presentation Attack Detector Using Global-Local Model
Fingerprint Presentation Attack Detector Using Global-Local Model
Haozhe Liu
Wentian Zhang
Feng Liu
Haoqian Wu
Linlin Shen
29
22
0
20 Feb 2024
SAWEC: Sensing-Assisted Wireless Edge Computing
SAWEC: Sensing-Assisted Wireless Edge Computing
Khandaker Foysal Haque
Francesca Meneghello
Md. Ebtidaul Karim
Francesco Restuccia
36
1
0
15 Feb 2024
Floralens: a Deep Learning Model for the Portuguese Native Flora
Floralens: a Deep Learning Model for the Portuguese Native Flora
António Filgueiras
Eduardo R. B. Marques
Luís M. B. Lopes
Miguel Marques
Hugo Silva
29
0
0
13 Feb 2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise
  Convolutional Kernels
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
Z. Babaiee
Peyman M. Kiasari
Daniela Rus
Radu Grosu
38
1
0
25 Jan 2024
Distance Guided Generative Adversarial Network for Explainable Binary
  Classifications
Distance Guided Generative Adversarial Network for Explainable Binary Classifications
Xiangyu Xiong
Yue Sun
Xiaohong Liu
Wei Ke
C. Lam
...
Hui Xie
Tong Tong
Qinquan Gao
Haoming Chen
Tao Tan
GAN
15
0
0
29 Dec 2023
Medical Image Classification Using Transfer Learning and Chaos Game
  Optimization on the Internet of Medical Things
Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things
Alhassan Mabrouk
Abdelghani Dahou
M. A. Abd Elaziz
R. D. Díaz Redondo
Mohammed Kayed
19
19
0
12 Dec 2023
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource
  Constraints
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints
Francesco Corti
Balz Maag
Joachim Schauer
U. Pferschy
O. Saukh
29
2
0
22 Nov 2023
Masked Autoencoders Are Robust Neural Architecture Search Learners
Masked Autoencoders Are Robust Neural Architecture Search Learners
Yiming Hu
Xiangxiang Chu
Bo-Wen Zhang
OOD
37
0
0
20 Nov 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation
Dzung Pham
Shreyas Kulkarni
Amir Houmansadr
30
0
0
29 Oct 2023
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot
I. Redko
Anton Mallasto
Charlotte Laclau
Karol Arndt
Oliver Struckmeier
Markus Heinonen
Ville Kyrki
Samuel Kaski
54
2
0
17 Oct 2023
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
Juan Zou
Shenghong Wu
Yizhang Xia
Weiwei Jiang
Zeping Wu
Jinhua Zheng
3DV
23
0
0
14 Oct 2023
A Holistic Evaluation of Piano Sound Quality
A Holistic Evaluation of Piano Sound Quality
Monan Zhou
Shangda Wu
Shaohua Ji
Zijin Li
Wei Li
24
0
0
07 Oct 2023
DONNAv2 -- Lightweight Neural Architecture Search for Vision tasks
DONNAv2 -- Lightweight Neural Architecture Search for Vision tasks
Sweta Priyadarshi
Tianyu Jiang
Hsin-Pai Cheng
S. Rama Krishna
Viswanath Ganapathy
C. Patel
38
0
0
26 Sep 2023
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive
  Language-Image Pre-training
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training
Xi Deng
Han Shi
Runhu Huang
Changlin Li
Hang Xu
Jianhua Han
James T. Kwok
Shen Zhao
Wei Zhang
Xiaodan Liang
CLIP
VLM
29
3
0
22 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method
Enhancing Adversarial Attacks: The Similar Target Method
Shuo Zhang
Ziruo Wang
Zikai Zhou
Huanran Chen
AAML
54
1
0
21 Aug 2023
ETran: Energy-Based Transferability Estimation
ETran: Energy-Based Transferability Estimation
Mohsen Gholami
Mohammad Akbari
Xinglu Wang
Behnam Kamranian
Yong Zhang
23
9
0
03 Aug 2023
ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection
ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection
D. Reshetova
Guanhang Wu
Marcel Puyat
Chunhui Gu
Huizhong Chen
ViT
26
0
0
21 Jul 2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
Tao Wu
Tie-Mei Luo
D. Wunsch
AAML
19
9
0
09 Jul 2023
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural
  Architecture Search
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search
Bhavna Gopal
Arjun Sridhar
Tunhou Zhang
Yiran Chen
16
3
0
06 Jul 2023
Searching for the Fakes: Efficient Neural Architecture Search for
  General Face Forgery Detection
Searching for the Fakes: Efficient Neural Architecture Search for General Face Forgery Detection
Xiao Jin
Xinwen Mu
Jing Xu
CVBM
13
0
0
15 Jun 2023
Performance-optimized deep neural networks are evolving into worse
  models of inferotemporal visual cortex
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
Drew Linsley
I. F. Rodriguez
Thomas Fel
Michael Arcaro
Saloni Sharma
Margaret Livingstone
Thomas Serre
35
18
0
06 Jun 2023
A Transfer Learning and Explainable Solution to Detect mpox from
  Smartphones images
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images
M. Campana
Marco Colussi
Franca Delmastro
S. Mascetti
Elena Pagani
13
10
0
29 May 2023
Incremental Dense Reconstruction from Monocular Video with Guided Sparse
  Feature Volume Fusion
Incremental Dense Reconstruction from Monocular Video with Guided Sparse Feature Volume Fusion
Xingxing Zuo
Nan Yang
Nate Merrill
Binbin Xu
Stefan Leutenegger
MDE
35
7
0
24 May 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
M. Deutel
G. Kontes
Christopher Mutschler
Jürgen Teich
46
0
0
23 May 2023
Decoupled Kullback-Leibler Divergence Loss
Decoupled Kullback-Leibler Divergence Loss
Jiequan Cui
Zhuotao Tian
Zhisheng Zhong
Xiaojuan Qi
Bei Yu
Hanwang Zhang
39
38
0
23 May 2023
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