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

50 / 246 papers shown
Title
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
34
152
0
28 Oct 2021
The Efficiency Misnomer
The Efficiency Misnomer
Daoyuan Chen
Liuyi Yao
Dawei Gao
Ashish Vaswani
Yaliang Li
34
98
0
25 Oct 2021
Differentiable NAS Framework and Application to Ads CTR Prediction
Differentiable NAS Framework and Application to Ads CTR Prediction
Ravi Krishna
Aravind Kalaiah
Bichen Wu
Maxim Naumov
Dheevatsa Mudigere
M. Smelyanskiy
Kurt Keutzer
20
8
0
25 Oct 2021
When to Prune? A Policy towards Early Structural Pruning
When to Prune? A Policy towards Early Structural Pruning
Maying Shen
Pavlo Molchanov
Hongxu Yin
J. Álvarez
VLM
20
52
0
22 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical
  Improvements
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
43
7
0
16 Oct 2021
Token Pooling in Vision Transformers
Token Pooling in Vision Transformers
D. Marin
Jen-Hao Rick Chang
Anurag Ranjan
Anish K. Prabhu
Mohammad Rastegari
Oncel Tuzel
ViT
73
66
0
08 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete
  Stochasticity in Machine Learning
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
26
93
0
04 Oct 2021
DAAS: Differentiable Architecture and Augmentation Policy Search
DAAS: Differentiable Architecture and Augmentation Policy Search
Xiaoxing Wang
Xiangxiang Chu
Junchi Yan
Xiaokang Yang
24
5
0
30 Sep 2021
Delve into the Performance Degradation of Differentiable Architecture
  Search
Delve into the Performance Degradation of Differentiable Architecture Search
Jiuling Zhang
Zhiming Ding
33
1
0
28 Sep 2021
L$^{2}$NAS: Learning to Optimize Neural Architectures via
  Continuous-Action Reinforcement Learning
L2^{2}2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning
Keith G. Mills
Fred X. Han
Mohammad Salameh
Seyed Saeed Changiz Rezaei
Linglong Kong
Wei Lu
Shuo Lian
Shangling Jui
Di Niu
19
10
0
25 Sep 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and
  Efficiency
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
Yongan Zhang
Haoran You
Yonggan Fu
Tong Geng
Ang Li
Yingyan Lin
GNN
21
28
0
18 Sep 2021
PP-LCNet: A Lightweight CPU Convolutional Neural Network
PP-LCNet: A Lightweight CPU Convolutional Neural Network
Cheng Cui
Tingquan Gao
Shengyun Wei
Yuning Du
Ruoyu Guo
...
X. Lv
Qiwen Liu
Xiaoguang Hu
Dianhai Yu
Yanjun Ma
ObjD
39
121
0
17 Sep 2021
Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural
  Architecture Search
Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search
Lianbo Ma
Nan Li
Guo-Ding Yu
Xiao Geng
Min Huang
Xingwei Wang
27
53
0
14 Sep 2021
Searching for Two-Stream Models in Multivariate Space for Video
  Recognition
Searching for Two-Stream Models in Multivariate Space for Video Recognition
Xinyu Gong
Heng Wang
Zheng Shou
Matt Feiszli
Zhangyang Wang
Zhicheng Yan
24
9
0
30 Aug 2021
Design and Scaffolded Training of an Efficient DNN Operator for Computer
  Vision on the Edge
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge
Vinod Ganesan
Pratyush Kumar
34
2
0
25 Aug 2021
Lightweight Monocular Depth with a Novel Neural Architecture Search
  Method
Lightweight Monocular Depth with a Novel Neural Architecture Search Method
Lam Huynh
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
29
10
0
25 Aug 2021
BN-NAS: Neural Architecture Search with Batch Normalization
BN-NAS: Neural Architecture Search with Batch Normalization
Boyu Chen
Peixia Li
Baopu Li
Chen Lin
Chuming Li
Ming-hui Sun
Junjie Yan
Wanli Ouyang
26
30
0
16 Aug 2021
Learning to Rank Ace Neural Architectures via Normalized Discounted
  Cumulative Gain
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain
Yuge Zhang
Quan Zhang
Li Lyna Zhang
Yaming Yang
Chenqian Yan
Xiaotian Gao
Yuqing Yang
33
0
0
06 Aug 2021
FLASH: Fast Neural Architecture Search with Hardware Optimization
FLASH: Fast Neural Architecture Search with Hardware Optimization
Guihong Li
Sumit K. Mandal
Ümit Y. Ogras
R. Marculescu
25
20
0
01 Aug 2021
Bias Loss for Mobile Neural Networks
Bias Loss for Mobile Neural Networks
L. Abrahamyan
Valentin Ziatchin
Yiming Chen
Nikos Deligiannis
15
14
0
23 Jul 2021
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural
  Accelerators with Application to Neural Architecture Search
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search
Zheyu Yan
Da-Cheng Juan
X. S. Hu
Yiyu Shi
30
24
0
06 Jul 2021
AutoFormer: Searching Transformers for Visual Recognition
AutoFormer: Searching Transformers for Visual Recognition
Minghao Chen
Houwen Peng
Jianlong Fu
Haibin Ling
ViT
36
259
0
01 Jul 2021
HALF: Holistic Auto Machine Learning for FPGAs
HALF: Holistic Auto Machine Learning for FPGAs
Jonas Ney
D. Loroch
Vladimir Rybalkin
Nicolas Weber
Jens Krüger
Norbert Wehn
13
9
0
28 Jun 2021
Multi-objective Asynchronous Successive Halving
Multi-objective Asynchronous Successive Halving
Robin Schmucker
Michele Donini
Muhammad Bilal Zafar
David Salinas
Cédric Archambeau
32
23
0
23 Jun 2021
Layer Folding: Neural Network Depth Reduction using Activation
  Linearization
Layer Folding: Neural Network Depth Reduction using Activation Linearization
Amir Ben Dror
Niv Zehngut
Avraham Raviv
E. Artyomov
Ran Vitek
R. Jevnisek
26
20
0
17 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models
  Smaller, Faster, and Better
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
VLM
MedIm
23
365
0
16 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via
  Meta-Learning
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee
Sewoong Lee
Song Chong
S. Hwang
13
26
0
16 Jun 2021
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
Yonggan Fu
Yongan Zhang
Chaojian Li
Zhongzhi Yu
Yingyan Lin
26
6
0
11 Jun 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Yonggan Fu
Yongan Zhang
Yang Zhang
David D. Cox
Yingyan Lin
MQ
52
17
0
11 Jun 2021
A multi-objective perspective on jointly tuning hardware and
  hyperparameters
A multi-objective perspective on jointly tuning hardware and hyperparameters
David Salinas
Valerio Perrone
Olivier Cruchant
Cédric Archambeau
24
13
0
10 Jun 2021
FNAS: Uncertainty-Aware Fast Neural Architecture Search
FNAS: Uncertainty-Aware Fast Neural Architecture Search
Jihao Liu
Ming Zhang
Yangting Sun
B. Liu
Guanglu Song
Yu Liu
Hongsheng Li
30
7
0
25 May 2021
Fast and Accurate Quantized Camera Scene Detection on Smartphones,
  Mobile AI 2021 Challenge: Report
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Sheng Chen
Xin Xia
...
K. Lyda
L. Khojoyan
Abhishek Thanki
Sayak Paul
Shahid Siddiqui
MQ
18
20
0
17 May 2021
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model
  Configurations
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
Taojiannan Yang
Sijie Zhu
Matías Mendieta
Pu Wang
Ravikumar Balakrishnan
Minwoo Lee
T. Han
M. Shah
C. L. P. Chen
3DH
OOD
28
22
0
14 May 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
Rameswar Panda
Chun-Fu Chen
Quanfu Fan
Ximeng Sun
Kate Saenko
A. Oliva
Rogerio Feris
28
47
0
11 May 2021
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform
  Deployment
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
Manas Sahni
S. Varshini
Alind Khare
Alexey Tumanov
15
31
0
26 Apr 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
30
27
0
24 Apr 2021
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of
  Quantization on Depthwise Separable Convolutional Networks Through the Eyes
  of Multi-scale Distributional Dynamics
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
S. Yun
Alexander Wong
MQ
19
25
0
24 Apr 2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
Yonggan Fu
Zhongzhi Yu
Yongan Zhang
Yifan Jiang
Chaojian Li
Yongyuan Liang
Mingchao Jiang
Zhangyang Wang
Yingyan Lin
20
3
0
22 Apr 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim
Andreas Biri
Zhongnan Qu
Lothar Thiele
43
30
0
21 Apr 2021
Data-Efficient Language-Supervised Zero-Shot Learning with
  Self-Distillation
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation
Rui Cheng
Bichen Wu
Peizhao Zhang
Peter Vajda
Joseph E. Gonzalez
CLIP
VLM
21
31
0
18 Apr 2021
Searching Efficient Model-guided Deep Network for Image Denoising
Searching Efficient Model-guided Deep Network for Image Denoising
Qiang Ning
W. Dong
Xin Li
Jinjian Wu
Leida Li
Guangming Shi
27
7
0
06 Apr 2021
Neural Feature Search for RGB-Infrared Person Re-Identification
Neural Feature Search for RGB-Infrared Person Re-Identification
Yehansen Chen
Lin Wan
Zhihang Li
Qianyan Jing
Zongyuan Sun
39
138
0
06 Apr 2021
Efficient Video Compression via Content-Adaptive Super-Resolution
Efficient Video Compression via Content-Adaptive Super-Resolution
Mehrdad Khani Shirkoohi
Vibhaalakshmi Sivaraman
Mohammad Alizadeh
SupR
26
49
0
06 Apr 2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely
  Self-supervised Neural Architecture Search
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Changlin Li
Tao Tang
Guangrun Wang
Jiefeng Peng
Bing Wang
Xiaodan Liang
Xiaojun Chang
ViT
46
105
0
23 Mar 2021
AutoSpace: Neural Architecture Search with Less Human Interference
AutoSpace: Neural Architecture Search with Less Human Interference
Daquan Zhou
Xiaojie Jin
Xiaochen Lian
Linjie Yang
Yujing Xue
Qibin Hou
Jiashi Feng
21
10
0
22 Mar 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 Katie Zhao
Haoran You
Qixuan Yu
Yue Wang
Yingyan Lin
38
106
0
19 Mar 2021
Searching by Generating: Flexible and Efficient One-Shot NAS with
  Architecture Generator
Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
Sian-Yao Huang
W. Chu
14
25
0
12 Mar 2021
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural
  Architecture Search
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search
Xiangzhong Luo
Di Liu
Shuo Huai
Weichen Liu
20
6
0
11 Mar 2021
Environmental Sound Classification on the Edge: A Pipeline for Deep
  Acoustic Networks on Extremely Resource-Constrained Devices
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
Md Mohaimenuzzaman
Christoph Bergmeir
I. West
B. Meyer
12
41
0
05 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin
Jian Ren
Oliver J. Woodford
Jiazhuo Wang
Geng Yuan
Yanzhi Wang
Sergey Tulyakov
33
54
0
05 Mar 2021
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