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

50 / 61 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
73
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
75
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
88
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
Luca Bompani
Daniele Jahier Pagliari
73
0
0
24 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shin'ya Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
200
5
0
21 Feb 2025
Simpler Fast Vision Transformers with a Jumbo CLS Token
Simpler Fast Vision Transformers with a Jumbo CLS Token
A. Fuller
Yousef Yassin
Daniel G. Kyrollos
Evan Shelhamer
James R. Green
112
0
0
20 Feb 2025
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks
Lotfi Abdelkrim Mecharbat
Alberto Marchisio
Mohamed Bennai
M. Ghassemi
Tuka Alhanai
124
0
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
80
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
Homayoun Najjaran
99
0
0
04 Nov 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
77
5
0
30 Jul 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
78
6
0
06 Jun 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
44
0
0
26 Apr 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
62
1
0
28 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
40
0
0
13 Feb 2024
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
95
2
0
17 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
44
0
0
07 Oct 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
114
0
0
23 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
86
67
0
10 May 2023
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
Chaojian Li
Wenwan Chen
Jiayi Yuan
Yingyan Lin
Ashutosh Sabharwal
35
0
0
19 Mar 2023
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Fan Mo
Mohammad Malekzadeh
S. Chatterjee
F. Kawsar
Akhil Mathur
FedML
45
2
0
08 Nov 2022
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Bichen Wu
Chaojian Li
Hang Zhang
Xiaoliang Dai
Peizhao Zhang
Matthew Yu
Jialiang Wang
Yingyan Lin
Peter Vajda
ViT
62
24
0
19 Nov 2021
An Information Theory-inspired Strategy for Automatic Network Pruning
An Information Theory-inspired Strategy for Automatic Network Pruning
Xiawu Zheng
Yuexiao Ma
Teng Xi
Gang Zhang
Errui Ding
Yuchao Li
Jie Chen
Yonghong Tian
Rongrong Ji
87
13
0
19 Aug 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li
Zhongzhi Yu
Yonggan Fu
Yongan Zhang
Yang Zhao
Haoran You
Qixuan Yu
Yue Wang
Yingyan Lin
66
109
0
19 Mar 2021
DrNAS: Dirichlet Neural Architecture Search
DrNAS: Dirichlet Neural Architecture Search
Xiangning Chen
Ruochen Wang
Minhao Cheng
Xiaocheng Tang
Cho-Jui Hsieh
OOD
24
98
0
18 Jun 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks
  by Weights Flipping
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping
Jiaxiong Qiu
Cai Chen
Shuaicheng Liu
B. Zeng
48
39
0
16 Mar 2020
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory
  Neural Accelerators
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators
Weiwen Jiang
Qiuwen Lou
Zheyu Yan
Lei Yang
Jiaxi Hu
X. S. Hu
Yiyu Shi
38
72
0
31 Oct 2019
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
81
1,037
0
23 Oct 2019
Neural Architecture Optimization
Neural Architecture Optimization
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
3DV
53
651
0
22 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
108
4,957
0
30 Jul 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
143
4,326
0
24 Jun 2018
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural
  Architectures
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures
Jin-Dong Dong
A. Cheng
Da-Cheng Juan
Wei Wei
Min Sun
42
181
0
21 Jun 2018
Resource-Efficient Neural Architect
Resource-Efficient Neural Architect
Yanqi Zhou
S. Ebrahimi
Sercan O. Arik
Haonan Yu
Hairong Liu
G. Diamos
32
64
0
12 Jun 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
110
518
0
09 Apr 2018
SqueezeNext: Hardware-Aware Neural Network Design
SqueezeNext: Hardware-Aware Neural Network Design
A. Gholami
K. Kwon
Bichen Wu
Zizheng Tai
Xiangyu Yue
Peter H. Jin
Sicheng Zhao
Kurt Keutzer
31
295
0
23 Mar 2018
Neural Architecture Search with Bayesian Optimisation and Optimal
  Transport
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy
Willie Neiswanger
J. Schneider
Barnabás Póczós
Eric Xing
52
603
0
11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
60
1,346
0
10 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
67
2,755
0
09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
115
3,009
0
05 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
101
19,124
0
13 Jan 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
110
3,090
0
15 Dec 2017
Progressive Neural Architecture Search
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
54
1,986
0
02 Dec 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang
Shichen Liu
Laurens van der Maaten
Kilian Q. Weinberger
61
796
0
25 Nov 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep
  Networks
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
A. Gordon
Elad Eban
Ofir Nachum
Bo Chen
Hao Wu
Tien-Ju Yang
Edward Choi
47
337
0
18 Nov 2017
Hierarchical Representations for Efficient Architecture Search
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
3DV
48
925
0
01 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
270
26,241
0
05 Sep 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
127
5,577
0
21 Jul 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
183
18,685
0
20 Jul 2017
Efficient Architecture Search by Network Transformation
Efficient Architecture Search by Network Transformation
Han Cai
Tianyao Chen
Weinan Zhang
Yong Yu
Jun Wang
OOD
3DV
43
67
0
16 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
106
6,830
0
04 Jul 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
50
3,666
0
08 Jun 2017
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