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FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
v1v2v3 (latest)

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run

19 November 2021
Bichen Wu
Chaojian Li
Hang Zhang
Xiaoliang Dai
Peizhao Zhang
Matthew Yu
Jialiang Wang
Yingyan Lin
Peter Vajda
    ViT
ArXiv (abs)PDFHTML

Papers citing "FBNetV5: Neural Architecture Search for Multiple Tasks in One Run"

50 / 73 papers shown
Title
AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer
AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer
Jiquan Shan
Junxiao Wang
Lifeng Zhao
Liang Cai
Hongyuan Zhang
Ioannis Liritzis
ViT
230
0
0
22 May 2025
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions
Guangrun Wang
Changlin Li
Liuchun Yuan
Jiefeng Peng
Xiaoyu Xian
Xiaodan Liang
Xiaojun Chang
Liang Lin
111
1
0
02 Mar 2024
MathNAS: If Blocks Have a Role in Mathematical Architecture Design
MathNAS: If Blocks Have a Role in Mathematical Architecture Design
Qinsi Wang
Jinghan Ke
Zhi Liang
Sihai Zhang
51
0
0
08 Nov 2023
Rethink DARTS Search Space and Renovate a New Benchmark
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang
Zhiming Ding
54
1
0
12 Jun 2023
Efficient Automation of Neural Network Design: A Survey on
  Differentiable Neural Architecture Search
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search
Alexandre Heuillet
A. Nasser
Hichem Arioui
Hedi Tabia
AI4CE
88
15
0
11 Apr 2023
Reversible Column Networks
Reversible Column Networks
Yuxuan Cai
Yi Zhou
Qi Han
Jianjian Sun
Xiangwen Kong
Jun Yu Li
Xiangyu Zhang
VLM
87
55
0
22 Dec 2022
Rethinking Vision Transformers for MobileNet Size and Speed
Rethinking Vision Transformers for MobileNet Size and Speed
Yanyu Li
Ju Hu
Yang Wen
Georgios Evangelidis
Kamyar Salahi
Yanzhi Wang
Sergey Tulyakov
Jian Ren
ViT
91
168
0
15 Dec 2022
Castling-ViT: Compressing Self-Attention via Switching Towards
  Linear-Angular Attention at Vision Transformer Inference
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
Haoran You
Yunyang Xiong
Xiaoliang Dai
Bichen Wu
Peizhao Zhang
Haoqi Fan
Peter Vajda
Yingyan Lin
96
34
0
18 Nov 2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Rahul Duggal
Hao Zhou
Shuo Yang
Jun Fang
Yuanjun Xiong
Wei Xia
UQCV
79
1
0
27 Sep 2022
Lightweight and Progressively-Scalable Networks for Semantic
  Segmentation
Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Yiheng Zhang
Ting Yao
Zhaofan Qiu
Tao Mei
SSeg
78
24
0
27 Jul 2022
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for
  real-time object detectors
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
168
6,571
0
06 Jul 2022
Efficient Automated Deep Learning for Time Series Forecasting
Efficient Automated Deep Learning for Time Series Forecasting
Difan Deng
Florian Karl
Frank Hutter
Bernd Bischl
Marius Lindauer
AI4TS
125
16
0
11 May 2022
A Survey of Supernet Optimization and its Applications: Spatial and
  Temporal Optimization for Neural Architecture Search
A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search
Stephen Cha
Taehyeon Kim
Hayeon Lee
Se-Young Yun
AI4CE
71
2
0
08 Apr 2022
A Tree-Structured Multi-Task Model Recommender
A Tree-Structured Multi-Task Model Recommender
Lijun Zhang
Xiao Liu
Hui Guan
LRMVLM
69
10
0
10 Mar 2022
AutoMTL: A Programming Framework for Automating Efficient Multi-Task
  Learning
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning
Lijun Zhang
Xiao Liu
Hui Guan
82
21
0
25 Oct 2021
Multi-Task Self-Training for Learning General Representations
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Nayeon Lee
SSL
85
101
0
25 Aug 2021
YOLOX: Exceeding YOLO Series in 2021
YOLOX: Exceeding YOLO Series in 2021
Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
ObjD
158
4,105
0
18 Jul 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng
Alex Schwing
Alexander Kirillov
VLMViT
210
1,551
0
13 Jul 2021
HR-NAS: Searching Efficient High-Resolution Neural Architectures with
  Lightweight Transformers
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers
Mingyu Ding
Xiaochen Lian
Linjie Yang
Peng Wang
Xiaojie Jin
Zhiwu Lu
Ping Luo
ViT
74
61
0
11 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
319
5,072
0
31 May 2021
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
Ben Graham
Alaaeldin El-Nouby
Hugo Touvron
Pierre Stock
Armand Joulin
Hervé Jégou
Matthijs Douze
ViT
95
792
0
02 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
467
21,603
0
25 Mar 2021
Probabilistic two-stage detection
Probabilistic two-stage detection
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
ObjD
98
226
0
12 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
535
3,740
0
24 Feb 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang
Chengyue Gong
Meng Li
Qiang Liu
Vikas Chandra
207
45
0
16 Feb 2021
Searching for Fast Model Families on Datacenter Accelerators
Searching for Fast Model Families on Datacenter Accelerators
Sheng Li
Mingxing Tan
Ruoming Pang
Andrew Li
Liqun Cheng
Quoc V. Le
N. Jouppi
77
34
0
10 Feb 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
389
6,805
0
23 Dec 2020
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual
  Recognition
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
Hsin-Pai Cheng
Feng Liang
Meng Li
Bowen Cheng
Feng Yan
H. Li
Vikas Chandra
Yiran Chen
62
9
0
30 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
73
23
0
22 Nov 2020
Evolving Search Space for Neural Architecture Search
Evolving Search Space for Neural Architecture Search
Yuanzheng Ci
Chen Lin
Ming Sun
Boyu Chen
Hongwen Zhang
Wanli Ouyang
63
43
0
22 Nov 2020
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
Xiaoliang Dai
Alvin Wan
Peizhao Zhang
Bichen Wu
Zijian He
...
Kan Chen
Yuandong Tian
Matthew Yu
Peter Vajda
Joseph E. Gonzalez
70
73
0
03 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
440
13,130
0
26 May 2020
MobileDets: Searching for Object Detection Architectures for Mobile
  Accelerators
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
Yunyang Xiong
Hanxiao Liu
Suyog Gupta
Berkin Akin
Gabriel Bender
Yongzhe Wang
Pieter-Jan Kindermans
Mingxing Tan
Vikas Singh
Bo Chen
ObjD
43
133
0
30 Apr 2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and
  Channel Dimensions
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Alvin Wan
Xiaoliang Dai
Peizhao Zhang
Zijian He
Yuandong Tian
...
Matthew Yu
Tao Xu
Kan Chen
Peter Vajda
Joseph E. Gonzalez
74
294
0
12 Apr 2020
Designing Network Design Spaces
Designing Network Design Spaces
Ilija Radosavovic
Raj Prateek Kosaraju
Ross B. Girshick
Kaiming He
Piotr Dollár
GNN
102
1,693
0
30 Mar 2020
DCNAS: Densely Connected Neural Architecture Search for Semantic Image
  Segmentation
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
Xiong Zhang
Hongmin Xu
Hong Mo
Jianchao Tan
Cheng Yang
Lei Wang
Wenqi Ren
AI4CE
53
92
0
26 Mar 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage
  Models
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
Jiahui Yu
Pengchong Jin
Hanxiao Liu
Gabriel Bender
Pieter-Jan Kindermans
Mingxing Tan
Thomas Huang
Xiaodan Song
Ruoming Pang
Quoc V. Le
98
304
0
24 Mar 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture
  Search
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
Xuanyi Dong
Yi Yang
141
714
0
02 Jan 2020
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
122
96
0
23 Dec 2019
FasterSeg: Searching for Faster Real-time Semantic Segmentation
FasterSeg: Searching for Faster Real-time Semantic Segmentation
Wuyang Chen
Xinyu Gong
Xianming Liu
Qian Zhang
Yuan Li
Zhangyang Wang
SSegOOD
72
190
0
23 Dec 2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and
  Localization
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Xianzhi Du
Nayeon Lee
Pengchong Jin
Golnaz Ghiasi
Mingxing Tan
Huayu Chen
Quoc V. Le
Xiaodan Song
55
174
0
10 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
547
42,639
0
03 Dec 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
117
5,061
0
20 Nov 2019
Once-for-All: Train One Network and Specialize it for Efficient
  Deployment
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
OOD
113
1,283
0
26 Aug 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
393
3,630
0
20 Aug 2019
SqueezeNAS: Fast neural architecture search for faster semantic
  segmentation
SqueezeNAS: Fast neural architecture search for faster semantic segmentation
Albert Eaton Shaw
D. Hunter
F. Iandola
Sammy Sidhu
SSeg
106
73
0
05 Aug 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
164
18,193
0
28 May 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
364
6,811
0
06 May 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
143
1,016
0
22 Apr 2019
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object
  Detection
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi
Nayeon Lee
Ruoming Pang
Quoc V. Le
ObjD
72
1,398
0
16 Apr 2019
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