ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.03443
  4. Cited By
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural
  Architecture Search

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

9 December 2018
Bichen Wu
Xiaoliang Dai
Peizhao Zhang
Yanghan Wang
Fei Sun
Yiming Wu
Yuandong Tian
Peter Vajda
Yangqing Jia
Kurt Keutzer
    MQ
ArXivPDFHTML

Papers citing "FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search"

50 / 246 papers shown
Title
Coordinate Attention for Efficient Mobile Network Design
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou
Daquan Zhou
Jiashi Feng
16
2,944
0
04 Mar 2021
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space
  Search
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
Kartik Hegde
Po-An Tsai
Sitao Huang
Vikas Chandra
A. Parashar
Christopher W. Fletcher
26
90
0
02 Mar 2021
An overview of artificial intelligence techniques for diagnosis of
  Schizophrenia based on magnetic resonance imaging modalities: Methods,
  challenges, and future works
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi
A. Shoeibi
Navid Ghassemi
Parisa Moridian
Ali Khadem
...
Juan M Gorriz
F. Khozeimeh
Yu-Dong Zhang
S. Nahavandi
U. Acharya
17
105
0
24 Feb 2021
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Yanqi Zhou
Xuanyi Dong
Berkin Akin
Mingxing Tan
Daiyi Peng
Tianjian Meng
Amir Yazdanbakhsh
Da Huang
Ravi Narayanaswami
James Laudon
49
26
0
17 Feb 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to
  Find N:M Transposable Masks
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara
Brian Chmiel
Moshe Island
Ron Banner
S. Naor
Daniel Soudry
50
110
0
16 Feb 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
K. E. Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
28
96
0
22 Jan 2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Ying Nie
Kai Han
Zhenhua Liu
Chunjing Xu
Yunhe Wang
OOD
39
22
0
21 Jan 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
22
4
0
24 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
56
140
0
21 Dec 2020
Dynamic Feature Pyramid Networks for Object Detection
Dynamic Feature Pyramid Networks for Object Detection
Mingjian Zhu
Kai Han
Changbin (Brad) Yu
Yunhe Wang
ObjD
14
21
0
01 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 2020
FP-NAS: Fast Probabilistic Neural Architecture Search
FP-NAS: Fast Probabilistic Neural Architecture Search
Zhicheng Yan
Xiaoliang Dai
Peizhao Zhang
Yuandong Tian
Bichen Wu
Matt Feiszli
19
23
0
22 Nov 2020
Understanding Training Efficiency of Deep Learning Recommendation Models
  at Scale
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
Bilge Acun
Matthew Murphy
Xiaodong Wang
Jade Nie
Carole-Jean Wu
K. Hazelwood
12
109
0
11 Nov 2020
DNA: Differentiable Network-Accelerator Co-Search
DNA: Differentiable Network-Accelerator Co-Search
Yongan Zhang
Y. Fu
Weiwen Jiang
Chaojian Li
Haoran You
Meng Li
Vikas Chandra
Yingyan Lin
23
17
0
28 Oct 2020
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Okan Kopuklu
Ji-ming Zheng
Hang Xu
Gerhard Rigoll
19
79
0
30 Sep 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
Jaeseong Lee
Duseok Kang
S. Ha
27
10
0
04 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo-wen Li
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
S. Seshia
Kurt Keutzer
34
264
0
01 Sep 2020
One Shot 3D Photography
One Shot 3D Photography
Johannes Kopf
Kevin Blackburn-Matzen
Suhib Alsisan
Ocean Quigley
Francis Ge
...
Peizhao Zhang
Zijian He
Peter Vajda
Ayush Saraf
Michael F. Cohen
25
79
0
27 Aug 2020
NASB: Neural Architecture Search for Binary Convolutional Neural
  Networks
NASB: Neural Architecture Search for Binary Convolutional Neural Networks
Baozhou Zhu
Zaid Al-Ars
P. Hofstee
MQ
24
23
0
08 Aug 2020
MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition
  in UAV Videos
MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos
Murari Mandal
L. Kumar
Santosh Kumar Vipparthi
36
48
0
04 Aug 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Haotian Tang
Zhijian Liu
Shengyu Zhao
Yujun Lin
Ji Lin
Hanrui Wang
Song Han
3DPC
33
630
0
31 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin
Wei-Ming Chen
Yujun Lin
J. Cohn
Chuang Gan
Song Han
56
475
0
20 Jul 2020
Search What You Want: Barrier Panelty NAS for Mixed Precision
  Quantization
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization
Haibao Yu
Qi Han
Jianbo Li
Jianping Shi
Guangliang Cheng
Bin Fan
MQ
19
61
0
20 Jul 2020
Standing on the Shoulders of Giants: Hardware and Neural Architecture
  Co-Search with Hot Start
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start
Weiwen Jiang
Lei Yang
Sakyasingha Dasgupta
J. Hu
Yiyu Shi
24
59
0
17 Jul 2020
BRP-NAS: Prediction-based NAS using GCNs
BRP-NAS: Prediction-based NAS using GCNs
L. Dudziak
Thomas C. P. Chau
Mohamed S. Abdelfattah
Royson Lee
Hyeji Kim
Nicholas D. Lane
GNN
17
200
0
16 Jul 2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering
  and Error Map Pruning
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
Yawen Wu
Zhepeng Wang
Yiyu Shi
J. Hu
16
43
0
07 Jul 2020
Rethinking Bottleneck Structure for Efficient Mobile Network Design
Rethinking Bottleneck Structure for Efficient Mobile Network Design
Zhou Daquan
Qibin Hou
Yunpeng Chen
Jiashi Feng
Shuicheng Yan
24
197
0
05 Jul 2020
Federated Mutual Learning
Federated Mutual Learning
T. Shen
Jie M. Zhang
Xinkang Jia
Fengda Zhang
Gang Huang
Pan Zhou
Kun Kuang
Fei Wu
Chao-Xiang Wu
FedML
17
119
0
27 Jun 2020
Cyclic Differentiable Architecture Search
Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
25
48
0
18 Jun 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization
  Policy
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Tianzhe Wang
Kuan-Chieh Jackson Wang
Han Cai
Ji Lin
Zhijian Liu
Song Han
MQ
36
174
0
15 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Mehrdad Khani Shirkoohi
Pouya Hamadanian
Arash Nasr-Esfahany
Mohammad Alizadeh
26
44
0
11 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao
Kecheng Xiao
Yuanxing Zhang
Kaigui Bian
Wei Yan
19
16
0
10 Jun 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
19
2,837
0
09 Jun 2020
Visual Transformers: Token-based Image Representation and Processing for
  Computer Vision
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Bichen Wu
Chenfeng Xu
Xiaoliang Dai
Alvin Wan
Peizhao Zhang
Zhicheng Yan
M. Tomizuka
Joseph E. Gonzalez
Kurt Keutzer
Peter Vajda
ViT
33
545
0
05 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
AI4CE
48
653
0
01 Jun 2020
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
Ronghao Guo
Chen Lin
Chuming Li
Keyu Tian
Ming-hui Sun
Lu Sheng
Junjie Yan
BDL
26
17
0
21 May 2020
AOWS: Adaptive and optimal network width search with latency constraints
AOWS: Adaptive and optimal network width search with latency constraints
Maxim Berman
Leonid Pischulin
N. Xu
Matthew B. Blaschko
Gérard Medioni
33
29
0
21 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update
Joint Multi-Dimension Pruning via Numerical Gradient Update
Zechun Liu
X. Zhang
Zhiqiang Shen
Zhe Li
Yichen Wei
Kwang-Ting Cheng
Jian Sun
41
18
0
18 May 2020
AutoSpeech: Neural Architecture Search for Speaker Recognition
AutoSpeech: Neural Architecture Search for Speaker Recognition
Shaojin Ding
Tianlong Chen
Xinyu Gong
Weiwei Zha
Zhangyang Wang
15
57
0
07 May 2020
EDD: Efficient Differentiable DNN Architecture and Implementation
  Co-search for Embedded AI Solutions
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
Yuhong Li
Cong Hao
Xiaofan Zhang
Xinheng Liu
Yao Chen
Jinjun Xiong
Wen-mei W. Hwu
Deming Chen
32
77
0
06 May 2020
Angle-based Search Space Shrinking for Neural Architecture Search
Angle-based Search Space Shrinking for Neural Architecture Search
Yiming Hu
Yuding Liang
Zichao Guo
Ruosi Wan
X. Zhang
Yichen Wei
Qingyi Gu
Jian-jun Sun
24
62
0
28 Apr 2020
ResNeSt: Split-Attention Networks
ResNeSt: Split-Attention Networks
Hang Zhang
Chongruo Wu
Zhongyue Zhang
Yi Zhu
Haibin Lin
...
Tong He
Jonas W. Mueller
R. Manmatha
Mu Li
Alex Smola
27
1,462
0
19 Apr 2020
Superkernel Neural Architecture Search for Image Denoising
Superkernel Neural Architecture Search for Image Denoising
Marcin Mo.zejko
Tomasz Latkowski
Lukasz Treszczotko
Michal Szafraniuk
K. Trojanowski
SupR
20
16
0
19 Apr 2020
Evolving Normalization-Activation Layers
Evolving Normalization-Activation Layers
Hanxiao Liu
Andrew Brock
Karen Simonyan
Quoc V. Le
12
79
0
06 Apr 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks
MUXConv: Information Multiplexing in Convolutional Neural Networks
Zhichao Lu
Kalyanmoy Deb
Vishnu Naresh Boddeti
14
44
0
31 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
15
27
0
29 Mar 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object
  Detection
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
Jianyuan Guo
Kai Han
Yunhe Wang
Chao Zhang
Zhaohui Yang
Hanxue Wu
Xinghao Chen
Chang Xu
14
99
0
26 Mar 2020
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
Shan You
Tao Huang
Mingmin Yang
Fei-Yue Wang
Chao Qian
Changshui Zhang
24
143
0
25 Mar 2020
A Survey of Methods for Low-Power Deep Learning and Computer Vision
A Survey of Methods for Low-Power Deep Learning and Computer Vision
Abhinav Goel
Caleb Tung
Yung-Hsiang Lu
George K. Thiruvathukal
VLM
10
92
0
24 Mar 2020
Learning Dynamic Routing for Semantic Segmentation
Learning Dynamic Routing for Semantic Segmentation
Yanwei Li
Lin Song
Yukang Chen
Zeming Li
X. Zhang
Xingang Wang
Jian-jun Sun
SSeg
85
163
0
23 Mar 2020
Previous
12345
Next