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 / 238 papers shown
Title
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection
Yiming Cui
37
8
0
02 Oct 2022
Searching a High-Performance Feature Extractor for Text Recognition
  Network
Searching a High-Performance Feature Extractor for Text Recognition Network
Hui Zhang
Quanming Yao
James T. Kwok
X. Bai
28
7
0
27 Sep 2022
Tiered Pruning for Efficient Differentialble Inference-Aware Neural
  Architecture Search
Tiered Pruning for Efficient Differentialble Inference-Aware Neural Architecture Search
Slawomir Kierat
Mateusz Sieniawski
Denys Fridman
Chendi Yu
Szymon Migacz
Pawel M. Morkisz
A. Fit-Florea
3DPC
19
0
0
23 Sep 2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
Hongwu Peng
Shangli Zhou
Yukui Luo
Shijin Duan
Nuo Xu
...
Tong Geng
Ang Li
Wujie Wen
Xiaolin Xu
Caiwen Ding
21
3
0
20 Sep 2022
QuantNAS for super resolution: searching for efficient
  quantization-friendly architectures against quantization noise
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
Egor Shvetsov
Dmitry Osin
Alexey Zaytsev
Ivan Koryakovskiy
Valentin Buchnev
I. Trofimov
Evgeny Burnaev
MQ
21
2
0
31 Aug 2022
Efficient Sparsely Activated Transformers
Efficient Sparsely Activated Transformers
Salar Latifi
Saurav Muralidharan
M. Garland
MoE
13
2
0
31 Aug 2022
Neural Architecture Search for Improving Latency-Accuracy Trade-off in
  Split Computing
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing
Shoma Shimizu
Takayuki Nishio
Shota Saito
Yoichi Hirose
Yen-Hsiu Chen
Shinichi Shirakawa
32
3
0
30 Aug 2022
You Only Search Once: On Lightweight Differentiable Architecture Search
  for Resource-Constrained Embedded Platforms
You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms
Xiangzhong Luo
Di Liu
Hao Kong
Shuo Huai
Hui Chen
Weichen Liu
33
9
0
30 Aug 2022
Hardware-aware mobile building block evaluation for computer vision
Hardware-aware mobile building block evaluation for computer vision
Maxim Bonnaerens
Matthias Anton Freiberger
Marian Verhelst
J. Dambre
20
1
0
26 Aug 2022
SONAR: Joint Architecture and System Optimization Search
SONAR: Joint Architecture and System Optimization Search
Elias Jääsaari
Michelle Ma
Ameet Talwalkar
Tianqi Chen
36
1
0
25 Aug 2022
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
Zhewen Yu
C. Bouganis
22
4
0
22 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
43
3
0
22 Aug 2022
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
18
11
0
11 Aug 2022
Tackling Neural Architecture Search With Quality Diversity Optimization
Tackling Neural Architecture Search With Quality Diversity Optimization
Lennart Schneider
Florian Pfisterer
P. Kent
Juergen Branke
B. Bischl
Janek Thomas
AI4CE
19
3
0
30 Jul 2022
Compiler-Aware Neural Architecture Search for On-Mobile Real-time
  Super-Resolution
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution
Yushu Wu
Yifan Gong
Pu Zhao
Yanyu Li
Zheng Zhan
Wei Niu
Hao Tang
Minghai Qin
Bin Ren
Yanzhi Wang
SupR
MQ
27
23
0
25 Jul 2022
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully
  Connected Neural Networks
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks
Charles Edison Tripp
J. Perr-Sauer
L. Hayne
M. Lunacek
Jamil Gafur
AI4CE
21
0
0
25 Jul 2022
Architecture Augmentation for Performance Predictor Based on Graph
  Isomorphism
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism
Xiangning Xie
Yuqiao Liu
Yanan Sun
Mengjie Zhang
Kay Chen Tan
GNN
AI4CE
17
2
0
03 Jul 2022
Slimmable Domain Adaptation
Slimmable Domain Adaptation
Rang Meng
Weijie Chen
Shicai Yang
Jie Song
Luojun Lin
Di Xie
Shiliang Pu
Xinchao Wang
Mingli Song
Yueting Zhuang
26
12
0
14 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
28
18
0
02 Jun 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating
Gator: Customizable Channel Pruning of Neural Networks with Gating
E. Passov
E. David
N. Netanyahu
AAML
37
0
0
30 May 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
21
118
0
29 May 2022
Incremental Learning with Differentiable Architecture and Forgetting
  Search
Incremental Learning with Differentiable Architecture and Forgetting Search
James Smith
Zachary Seymour
Han-Pang Chiu
OOD
CLL
AI4CE
34
4
0
19 May 2022
Semi-Supervised Learning for Image Classification using Compact Networks
  in the BioMedical Context
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context
Adrián Inés
Andrés Díaz-Pinto
C. Domínguez
Jónathan Heras
Eloy J. Mata
Vico Pascual
19
1
0
19 May 2022
A Collaboration Strategy in the Mining Pool for
  Proof-of-Neural-Architecture Consensus
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus
Boyang Albert Li
Qing Lu
Weiwen Jiang
Taeho Jung
Yiyu Shi
26
5
0
05 May 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
Zhijian Liu
Haotian Tang
Shengyu Zhao
Kevin Shao
Song Han
3DPC
15
40
0
25 Apr 2022
Special Session: Towards an Agile Design Methodology for Efficient,
  Reliable, and Secure ML Systems
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Muhammad Shafique
28
13
0
18 Apr 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Compact Model Training by Low-Rank Projection with Energy Transfer
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
22
2
0
12 Apr 2022
Searching for Efficient Neural Architectures for On-Device ML on Edge
  TPUs
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs
Berkin Akin
Suyog Gupta
Yun Long
Anton Spiridonov
Zhuo Wang
Marie White
Haonan Xu
Ping Zhou
Yanqi Zhou
16
9
0
09 Apr 2022
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping
  Reinforcement
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
M. Das
Brijraj Singh
Harsh Chheda
Pawan Sharma
NS Pradeep
25
0
0
29 Mar 2022
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software
  Co-Design of Neural Accelerators
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators
Bingqian Lu
Zheyu Yan
Yiyu Shi
Shaolei Ren
21
2
0
25 Mar 2022
Learning Where To Look -- Generative NAS is Surprisingly Efficient
Learning Where To Look -- Generative NAS is Surprisingly Efficient
Jovita Lukasik
Steffen Jung
M. Keuper
21
15
0
16 Mar 2022
A Tree-Structured Multi-Task Model Recommender
A Tree-Structured Multi-Task Model Recommender
Lijun Zhang
Xiao Liu
Hui Guan
LRM
VLM
24
10
0
10 Mar 2022
An Efficient End-to-End 3D Voxel Reconstruction based on Neural
  Architecture Search
An Efficient End-to-End 3D Voxel Reconstruction based on Neural Architecture Search
Yongdong Huang
Yuanzhan Li
Xulong Cao
Siyu Zhang
Shen Cai
Ting Lu
Jie Wang
Yuqiao Liu
3DV
22
1
0
27 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural
  Architecture Search
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang
Xiaoming Yuan
Qianyun Zhang
Guangxu Zhu
Lei Cheng
Ning Zhang
FedML
OOD
13
15
0
23 Feb 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
T. Elsken
Arber Zela
J. H. Metzen
B. Staffler
Thomas Brox
Abhinav Valada
Frank Hutter
OOD
33
17
0
15 Feb 2022
Quantune: Post-training Quantization of Convolutional Neural Networks
  using Extreme Gradient Boosting for Fast Deployment
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment
Jemin Lee
Misun Yu
Yongin Kwon
Teaho Kim
MQ
17
17
0
10 Feb 2022
Neural Architecture Search for Spiking Neural Networks
Neural Architecture Search for Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Priyadarshini Panda
21
88
0
23 Jan 2022
UDC: Unified DNAS for Compressible TinyML Models
UDC: Unified DNAS for Compressible TinyML Models
Igor Fedorov
Ramon Matas
Hokchhay Tann
Chu Zhou
Matthew Mattina
P. Whatmough
AI4CE
21
13
0
15 Jan 2022
GhostNets on Heterogeneous Devices via Cheap Operations
GhostNets on Heterogeneous Devices via Cheap Operations
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chunjing Xu
Enhua Wu
Qi Tian
19
102
0
10 Jan 2022
Glance and Focus Networks for Dynamic Visual Recognition
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang
Yulin Wang
Kangchen Lv
Haojun Jiang
Wenhui Huang
Pengfei Qi
S. Song
3DH
71
49
0
09 Jan 2022
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in
  Edge-Cloud Systems
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems
Samaa Gazzaz
Vishal Chakraborty
Faisal Nawab
28
10
0
31 Dec 2021
Virtuoso: Video-based Intelligence for real-time tuning on SOCs
Virtuoso: Video-based Intelligence for real-time tuning on SOCs
Jayoung Lee
Pengcheng Wang
Ran Xu
Venkateswara Dasari
Noah Weston
Yin Li
S. Bagchi
Somali Chaterji
28
2
0
24 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
25
26
0
16 Dec 2021
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural
  Architecture Search
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search
Yifan Jiang
Xinyu Gong
Junru Wu
Humphrey Shi
Zhicheng Yan
Zhangyang Wang
VGen
49
1
0
09 Dec 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time
  Mobile Acceleration
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
Yifan Gong
Geng Yuan
Zheng Zhan
Wei Niu
Zhengang Li
...
Sijia Liu
Bin Ren
Xue Lin
Xulong Tang
Yanzhi Wang
20
10
0
22 Nov 2021
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
27
23
0
19 Nov 2021
Searching for TrioNet: Combining Convolution with Local and Global
  Self-Attention
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
Huaijin Pi
Huiyu Wang
Yingwei Li
Zizhang Li
Alan Yuille
ViT
21
3
0
15 Nov 2021
TND-NAS: Towards Non-differentiable Objectives in Progressive
  Differentiable NAS Framework
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
Bo Lyu
S. Wen
15
2
0
06 Nov 2021
RT-RCG: Neural Network and Accelerator Search Towards Effective and
  Real-time ECG Reconstruction from Intracardiac Electrograms
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms
Yongan Zhang
Anton Banta
Yonggan Fu
M. John
A. Post
M. Razavi
Joseph R. Cavallaro
B. Aazhang
Yingyan Lin
18
4
0
04 Nov 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Ji Lin
Wei-Ming Chen
Han Cai
Chuang Gan
Song Han
31
152
0
28 Oct 2021
Previous
12345
Next