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SkipNet: Learning Dynamic Routing in Convolutional Networks

SkipNet: Learning Dynamic Routing in Convolutional Networks

26 November 2017
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
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Papers citing "SkipNet: Learning Dynamic Routing in Convolutional Networks"

19 / 119 papers shown
Title
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
21
35
0
09 Feb 2020
Accelerating Deep Learning Inference via Freezing
Accelerating Deep Learning Inference via Freezing
Adarsh Kumar
Arjun Balasubramanian
Shivaram Venkataraman
Aditya Akella
AI4CE
21
22
0
07 Feb 2020
Lightweight Residual Densely Connected Convolutional Neural Network
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar
S. Kasaei
19
13
0
02 Jan 2020
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with
  Adaptive Solvers
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
T. Nguyen
Animesh Garg
Richard G. Baraniuk
Anima Anandkumar
TPM
28
9
0
09 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
33
869
0
07 Dec 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
25
30
0
16 Nov 2019
CSPN++: Learning Context and Resource Aware Convolutional Spatial
  Propagation Networks for Depth Completion
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion
Xinjing Cheng
Peng Wang
Chenye Guan
Ruigang Yang
8
221
0
13 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
28
141
0
02 Nov 2019
Depth-Adaptive Transformer
Depth-Adaptive Transformer
Maha Elbayad
Jiatao Gu
Edouard Grave
Michael Auli
19
188
0
22 Oct 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
43
584
0
25 Sep 2019
A Novel Design of Adaptive and Hierarchical Convolutional Neural
  Networks using Partial Reconfiguration on FPGA
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA
Mohammad Farhadi
Mehdi Ghasemi
Yezhou Yang
14
27
0
05 Sep 2019
Interpretable Neural Network Decoupling
Interpretable Neural Network Decoupling
Yuchao Li
Rongrong Ji
Shaohui Lin
Baochang Zhang
Chenqian Yan
Yongjian Wu
Feiyue Huang
Ling Shao
37
2
0
04 Jun 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural
  Networks via Self Distillation
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Linfeng Zhang
Jiebo Song
Anni Gao
Jingwei Chen
Chenglong Bao
Kaisheng Ma
FedML
27
844
0
17 May 2019
Dynamic Neural Network Channel Execution for Efficient Training
Dynamic Neural Network Channel Execution for Efficient Training
Simeon E. Spasov
Pietro Lió
19
4
0
15 May 2019
Budget-Aware Adapters for Multi-Domain Learning
Budget-Aware Adapters for Multi-Domain Learning
Rodrigo Berriel
Stéphane Lathuilière
Moin Nabi
T. Klein
Thiago Oliveira-Santos
N. Sebe
Elisa Ricci
OOD
22
41
0
15 May 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference
  Cost and Resource Constraints
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints
Shaofeng Cai
Gang Chen
Beng Chin Ooi
Jinyang Gao
25
19
0
03 Apr 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
22
547
0
21 Dec 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
10
1,449
0
11 Oct 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
20
96
0
10 Jul 2018
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