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Dynamic Neural Networks: A Survey

Dynamic Neural Networks: A Survey

9 February 2021
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
    3DH
    AI4TS
    AI4CE
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Papers citing "Dynamic Neural Networks: A Survey"

50 / 210 papers shown
Title
Dynamic ReLU
Dynamic ReLU
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Lu Yuan
Zicheng Liu
210
164
0
22 Mar 2020
Resolution Adaptive Networks for Efficient Inference
Resolution Adaptive Networks for Efficient Inference
Le Yang
Yizeng Han
Xi Chen
Shiji Song
Jifeng Dai
Gao Huang
55
219
0
16 Mar 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by
  Enabling Input-Adaptive Inference
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference
Ting-Kuei Hu
Tianlong Chen
Haotao Wang
Zhangyang Wang
OOD
AAML
3DH
46
84
0
24 Feb 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation
The Tree Ensemble Layer: Differentiability meets Conditional Computation
Hussein Hazimeh
Natalia Ponomareva
P. Mol
Zhenyu Tan
Rahul Mazumder
UQCV
AI4CE
278
79
0
18 Feb 2020
Dynamic Inference: A New Approach Toward Efficient Video Action
  Recognition
Dynamic Inference: A New Approach Toward Efficient Video Action Recognition
Wenhao Wu
Dongliang He
Xiao Tan
Shifeng Chen
Yi Yang
Shilei Wen
54
35
0
09 Feb 2020
Spatial-Adaptive Network for Single Image Denoising
Spatial-Adaptive Network for Single Image Denoising
Meng Chang
Qi Li
H. Feng
Zhi-hai Xu
47
153
0
28 Jan 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
Jianghao Shen
Y. Fu
Yue Wang
Pengfei Xu
Zhangyang Wang
Yingyan Lin
MQ
42
44
0
03 Jan 2020
AdaBits: Neural Network Quantization with Adaptive Bit-Widths
AdaBits: Neural Network Quantization with Adaptive Bit-Widths
Qing Jin
Linjie Yang
Zhenyu A. Liao
MQ
54
123
0
20 Dec 2019
PointRend: Image Segmentation as Rendering
PointRend: Image Segmentation as Rendering
Alexander Kirillov
Yuxin Wu
Kaiming He
Ross B. Girshick
ISeg
63
895
0
17 Dec 2019
Listen to Look: Action Recognition by Previewing Audio
Listen to Look: Action Recognition by Previewing Audio
Ruohan Gao
Tae-Hyun Oh
Kristen Grauman
Lorenzo Torresani
VLM
72
251
0
10 Dec 2019
Dynamic Convolution: Attention over Convolution Kernels
Dynamic Convolution: Attention over Convolution Kernels
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Lu Yuan
Zicheng Liu
90
886
0
07 Dec 2019
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Thomas Verelst
Tinne Tuytelaars
44
152
0
06 Dec 2019
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video
  Recognition
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
Zuxuan Wu
Caiming Xiong
Yu-Gang Jiang
L. Davis
64
108
0
03 Dec 2019
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization
Peihao Zhu
Rameen Abdal
Yipeng Qin
Peter Wonka
DiffM
63
444
0
28 Nov 2019
Any-Precision Deep Neural Networks
Any-Precision Deep Neural Networks
Haichao Yu
Haoxiang Li
Humphrey Shi
Thomas S. Huang
G. Hua
MQ
69
64
0
17 Nov 2019
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural
  Architecture Search
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
Zhihang Yuan
Bingzhe Wu
Zheng Liang
Shiwan Zhao
Weichen Bi
Guangyu Sun
60
30
0
16 Nov 2019
Depth-Adaptive Transformer
Depth-Adaptive Transformer
Maha Elbayad
Jiatao Gu
Edouard Grave
Michael Auli
81
190
0
22 Oct 2019
Self-Adaptive Network Pruning
Self-Adaptive Network Pruning
Jinting Chen
Zhaocheng Zhu
Chengwei Li
Yuming Zhao
3DPC
27
22
0
20 Oct 2019
Learning to Predict Layout-to-image Conditional Convolutions for
  Semantic Image Synthesis
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu
Guojun Yin
Jing Shao
Xiaogang Wang
Hongsheng Li
71
206
0
15 Oct 2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural
  Networks
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang
Banggu Wu
Peng Fei Zhu
P. Li
W. Zuo
Q. Hu
131
3,992
0
08 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object
  Deformation
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao
Xizhou Zhu
Steve Lin
Jifeng Dai
66
65
0
07 Oct 2019
Implicit Semantic Data Augmentation for Deep Networks
Implicit Semantic Data Augmentation for Deep Networks
Yulin Wang
Xuran Pan
Shiji Song
Hong Zhang
Cheng Wu
Gao Huang
56
200
0
26 Sep 2019
Meta-Neighborhoods
Meta-Neighborhoods
Siyuan Shan
Yang Li
Junier Oliva
118
13
0
18 Sep 2019
Squeeze-and-Attention Networks for Semantic Segmentation
Squeeze-and-Attention Networks for Semantic Segmentation
Zilong Zhong
Z. Q. Lin
Rene Bidart
Xiaodan Hu
Ibrahim Ben Daya
Zhifeng Li
Wei-Shi Zheng
Jonathan Li
A. Wong
SSeg
58
235
0
08 Sep 2019
Improved Techniques for Training Adaptive Deep Networks
Improved Techniques for Training Adaptive Deep Networks
Hao Li
Hong Zhang
Xiaojuan Qi
Ruigang Yang
Gao Huang
65
132
0
17 Aug 2019
Message Passing Attention Networks for Document Understanding
Message Passing Attention Networks for Document Understanding
Giannis Nikolentzos
A. Tixier
Michalis Vazirgiannis
GNN
66
67
0
17 Aug 2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective
  Untrimmed Video Recognition
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
Wenhao Wu
Dongliang He
Xiao Tan
Shifeng Chen
Shilei Wen
55
127
0
31 Jul 2019
Learning Instance-wise Sparsity for Accelerating Deep Models
Learning Instance-wise Sparsity for Accelerating Deep Models
Chuanjian Liu
Yunhe Wang
Kai Han
Chunjing Xu
Chang Xu
38
27
0
27 Jul 2019
Learned Image Downscaling for Upscaling using Content Adaptive Resampler
Learned Image Downscaling for Upscaling using Content Adaptive Resampler
Wanjie Sun
Zhenzhong Chen
DiffM
SupR
46
137
0
22 Jul 2019
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
D. Marin
Zijian He
Peter Vajda
Priyam Chatterjee
Sam S. Tsai
Fei Yang
Yuri Boykov
SSeg
32
87
0
16 Jul 2019
Batch-Shaping for Learning Conditional Channel Gated Networks
Batch-Shaping for Learning Conditional Channel Gated Networks
B. Bejnordi
Tijmen Blankevoort
Max Welling
AI4CE
56
76
0
15 Jul 2019
Dual Dynamic Inference: Enabling More Efficient, Adaptive and
  Controllable Deep Inference
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference
Yue Wang
Jianghao Shen
Ting-Kuei Hu
Pengfei Xu
T. Nguyen
Richard Baraniuk
Zhangyang Wang
Yingyan Lin
51
76
0
10 Jul 2019
CARAFE: Content-Aware ReAssembly of FEatures
CARAFE: Content-Aware ReAssembly of FEatures
Jiaqi Wang
Kai-xiang Chen
Rui Xu
Ziwei Liu
Chen Change Loy
Dahua Lin
78
568
0
06 May 2019
Spatio-Temporal Filter Adaptive Network for Video Deblurring
Spatio-Temporal Filter Adaptive Network for Video Deblurring
Shangchen Zhou
Jiawei Zhang
Jin-shan Pan
Haozhe Xie
W. Zuo
Jimmy S. J. Ren
54
194
0
28 Apr 2019
DynamoNet: Dynamic Action and Motion Network
DynamoNet: Dynamic Action and Motion Network
Ali Diba
Vivek Sharma
Luc Van Gool
Rainer Stiefelhagen
78
110
0
25 Apr 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
149
2,527
0
18 Apr 2019
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in
  Pathology
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
Hiroki Tokunaga
Y. Teramoto
Akihiko Yoshizawa
Ryoma Bise
55
117
0
12 Apr 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
Xin Wang
Feng Yu
Ruth Wang
Trevor Darrell
Joseph E. Gonzalez
58
105
0
11 Apr 2019
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Xizhou Zhu
Dazhi Cheng
Zheng Zhang
Stephen Lin
Jifeng Dai
69
413
0
11 Apr 2019
Pixel-Adaptive Convolutional Neural Networks
Pixel-Adaptive Convolutional Neural Networks
Hang Su
Varun Jampani
Deqing Sun
Orazio Gallo
Erik Learned-Miller
Jan Kautz
68
288
0
10 Apr 2019
CondConv: Conditionally Parameterized Convolutions for Efficient
  Inference
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Brandon Yang
Gabriel Bender
Quoc V. Le
Jiquan Ngiam
MedIm
3DV
67
632
0
10 Apr 2019
SCSampler: Sampling Salient Clips from Video for Efficient Action
  Recognition
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition
Bruno Korbar
Du Tran
Lorenzo Torresani
61
223
0
08 Apr 2019
Adaptively Connected Neural Networks
Adaptively Connected Neural Networks
Guangrun Wang
Keze Wang
Liang Lin
55
47
0
07 Apr 2019
An Attentive Survey of Attention Models
An Attentive Survey of Attention Models
S. Chaudhari
Varun Mithal
Gungor Polatkan
R. Ramanath
121
652
0
05 Apr 2019
VideoBERT: A Joint Model for Video and Language Representation Learning
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun
Austin Myers
Carl Vondrick
Kevin Patrick Murphy
Cordelia Schmid
VLM
SSL
69
1,243
0
03 Apr 2019
SRM : A Style-based Recalibration Module for Convolutional Neural
  Networks
SRM : A Style-based Recalibration Module for Convolutional Neural Networks
HyunJae Lee
Hyo-Eun Kim
Hyeonseob Nam
44
224
0
26 Mar 2019
Neural Speed Reading with Structural-Jump-LSTM
Neural Speed Reading with Structural-Jump-LSTM
Christian B. Hansen
Casper Hansen
Stephen Alstrup
J. Simonsen
Christina Lioma
46
36
0
20 Mar 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
137
2,682
0
18 Mar 2019
Selective Kernel Networks
Selective Kernel Networks
Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
90
2,025
0
15 Mar 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu
Haoyuan Mu
Xiangyu Zhang
Zilei Wang
Tieniu Tan
Jian Sun
SupR
70
403
0
03 Mar 2019
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