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SkipNet: Learning Dynamic Routing in Convolutional Networks

SkipNet: Learning Dynamic Routing in Convolutional Networks

26 November 2017
Xin Wang
F. I. F. Richard Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
ArXivPDFHTML

Papers citing "SkipNet: Learning Dynamic Routing in Convolutional Networks"

50 / 92 papers shown
Title
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells
Elad Yoshai
Dana Yagoda-Aharoni
Eden Dotan
N. Shaked
18
0
0
12 May 2025
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
Qingyuan Wang
Guoxin Wang
B. Cardiff
Deepu John
38
0
0
07 May 2025
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
75
0
0
29 Apr 2025
DYNAMAX: Dynamic computing for Transformers and Mamba based architectures
DYNAMAX: Dynamic computing for Transformers and Mamba based architectures
Miguel Nogales
Matteo Gambella
Manuel Roveri
56
0
0
29 Apr 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Kai Wang
Hao Luo
Yibing Song
Gao Huang
Fan Wang
Yang You
66
0
0
09 Apr 2025
Learning to Inference Adaptively for Multimodal Large Language Models
Learning to Inference Adaptively for Multimodal Large Language Models
Zhuoyan Xu
Khoi Duc Nguyen
Preeti Mukherjee
Saurabh Bagchi
Somali Chaterji
Yingyu Liang
Yin Li
LRM
42
1
0
13 Mar 2025
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions
Jingyu Zhang
Yilei Wang
Lang Qian
Peng Sun
Zengwen Li
Sudong Jiang
Maolin Liu
Liang Song
97
1
0
14 Dec 2024
SOI: Scaling Down Computational Complexity by Estimating Partial States
  of the Model
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
Grzegorz Stefański
P. Daniluk
Artur Szumaczuk
Jakub Tkaczuk
21
0
0
04 Oct 2024
AFter: Attention-based Fusion Router for RGBT Tracking
AFter: Attention-based Fusion Router for RGBT Tracking
Andong Lu
Wanyu Wang
Chenglong Li
Jin Tang
Bin Luo
52
5
0
04 May 2024
Tiny Models are the Computational Saver for Large Models
Tiny Models are the Computational Saver for Large Models
Qingyuan Wang
B. Cardiff
Antoine Frappé
Benoît Larras
Deepu John
29
2
0
26 Mar 2024
Exploring Dynamic Transformer for Efficient Object Tracking
Exploring Dynamic Transformer for Efficient Object Tracking
Jiawen Zhu
Xin Chen
Haiwen Diao
Shuai Li
Jun-Yan He
Chenyang Li
Bin Luo
Dong Wang
Huchuan Lu
41
2
0
26 Mar 2024
Better Schedules for Low Precision Training of Deep Neural Networks
Better Schedules for Low Precision Training of Deep Neural Networks
Cameron R. Wolfe
Anastasios Kyrillidis
40
1
0
04 Mar 2024
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of
  Experts
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
Anastasis Kratsios
Haitz Sáez de Ocáriz Borde
Takashi Furuya
Marc T. Law
MoE
41
1
0
05 Feb 2024
Adaptive Depth Networks with Skippable Sub-Paths
Adaptive Depth Networks with Skippable Sub-Paths
Woochul Kang
28
1
0
27 Dec 2023
Learning Online Policies for Person Tracking in Multi-View Environments
Learning Online Policies for Person Tracking in Multi-View Environments
Keivan Nalaie
Rong Zheng
21
1
0
26 Dec 2023
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for
  Gait Recognition
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition
Huanzhang Dou
Pengyi Zhang
Wei Su
Yunlong Yu
Xi Li
CVBM
26
31
0
06 Jun 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
M. Deutel
G. Kontes
Christopher Mutschler
Jürgen Teich
39
0
0
23 May 2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Guihong Li
Kartikeya Bhardwaj
Yuedong Yang
R. Marculescu
AAML
28
0
0
13 May 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model
  Fine-tuning
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Xinyun Zhang
Lanqing Hong
OODD
33
0
0
13 Apr 2023
DynamicDet: A Unified Dynamic Architecture for Object Detection
DynamicDet: A Unified Dynamic Architecture for Object Detection
Zhi-Hao Lin
Yongtao Wang
Jinhe Zhang
Xiaojie Chu
ObjD
21
30
0
12 Apr 2023
Revisiting Single-gated Mixtures of Experts
Revisiting Single-gated Mixtures of Experts
Amelie Royer
I. Karmanov
Andrii Skliar
B. Bejnordi
Tijmen Blankevoort
MoE
MoMe
16
6
0
11 Apr 2023
System-status-aware Adaptive Network for Online Streaming Video
  Understanding
System-status-aware Adaptive Network for Online Streaming Video Understanding
Lin Geng Foo
Jia Gong
Zhipeng Fan
J. Liu
AI4TS
27
15
0
28 Mar 2023
$Δ$-Patching: A Framework for Rapid Adaptation of Pre-trained
  Convolutional Networks without Base Performance Loss
ΔΔΔ-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss
Chaitanya Devaguptapu
Samarth Sinha
K. J. Joseph
V. Balasubramanian
Animesh Garg
60
1
0
26 Mar 2023
Adaptive Rotated Convolution for Rotated Object Detection
Adaptive Rotated Convolution for Rotated Object Detection
Yifan Pu
Yiru Wang
Zhuofan Xia
Yizeng Han
Yulin Wang
Weihao Gan
Zidong Wang
S. Song
Gao Huang
15
76
0
14 Mar 2023
I3D: Transformer architectures with input-dependent dynamic depth for
  speech recognition
I3D: Transformer architectures with input-dependent dynamic depth for speech recognition
Yifan Peng
Jaesong Lee
Shinji Watanabe
22
19
0
14 Mar 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token
  Halting
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
Mao Ye
Gregory P. Meyer
Yuning Chai
Qiang Liu
32
8
0
09 Mar 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Jialai Wang
Ziyuan Zhang
Meiqi Wang
Han Qiu
Tianwei Zhang
Qi Li
Zongpeng Li
Tao Wei
Chao Zhang
AAML
17
20
0
27 Feb 2023
Dynamic Grained Encoder for Vision Transformers
Dynamic Grained Encoder for Vision Transformers
Lin Song
Songyang Zhang
Songtao Liu
Zeming Li
Xuming He
Hongbin Sun
Jian-jun Sun
Nanning Zheng
ViT
21
34
0
10 Jan 2023
Vertical Layering of Quantized Neural Networks for Heterogeneous
  Inference
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
Hai Wu
Ruifei He
Hao Hao Tan
Xiaojuan Qi
Kaibin Huang
MQ
19
2
0
10 Dec 2022
Vision Transformer Computation and Resilience for Dynamic Inference
Vision Transformer Computation and Resilience for Dynamic Inference
Kavya Sreedhar
Jason Clemons
Rangharajan Venkatesan
S. Keckler
M. Horowitz
24
2
0
06 Dec 2022
Latent Iterative Refinement for Modular Source Separation
Latent Iterative Refinement for Modular Source Separation
Dimitrios Bralios
Efthymios Tzinis
G. Wichern
Paris Smaragdis
Jonathan Le Roux
BDL
17
5
0
22 Nov 2022
Salient Object Detection via Dynamic Scale Routing
Salient Object Detection via Dynamic Scale Routing
Zhenyu Wu
Shuai Li
Chenglizhao Chen
Hong Qin
Aimin Hao
20
20
0
25 Oct 2022
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
13
0
0
14 Oct 2022
Latency-aware Spatial-wise Dynamic Networks
Latency-aware Spatial-wise Dynamic Networks
Yizeng Han
Zhihang Yuan
Yifan Pu
Chenhao Xue
S. Song
Guangyu Sun
Gao Huang
39
25
0
12 Oct 2022
Measuring and Narrowing the Compositionality Gap in Language Models
Measuring and Narrowing the Compositionality Gap in Language Models
Ofir Press
Muru Zhang
Sewon Min
Ludwig Schmidt
Noah A. Smith
M. Lewis
ReLM
KELM
LRM
46
550
0
07 Oct 2022
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural
  Networks on Edge NPUs
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs
Alexandros Kouris
Stylianos I. Venieris
Stefanos Laskaridis
Nicholas D. Lane
30
8
0
27 Sep 2022
Diversified Dynamic Routing for Vision Tasks
Diversified Dynamic Routing for Vision Tasks
Botos Csaba
Adel Bibi
Yanwei Li
Philip H. S. Torr
Ser-Nam Lim
MoE
21
0
0
26 Sep 2022
ERA: Expert Retrieval and Assembly for Early Action Prediction
ERA: Expert Retrieval and Assembly for Early Action Prediction
Lin Geng Foo
Tianjiao Li
Hossein Rahmani
Qiuhong Ke
J. Liu
19
15
0
20 Jul 2022
Pruning Early Exit Networks
Pruning Early Exit Networks
Alperen Görmez
Erdem Koyuncu
10
5
0
08 Jul 2022
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition
  by humans and dynamic neural networks
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks
Ajay Subramanian
Sara A. Price
Omkar Kumbhar
E. Sizikova
N. Majaj
D. Pelli
20
1
0
16 Jun 2022
Switchable Representation Learning Framework with Self-compatibility
Switchable Representation Learning Framework with Self-compatibility
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
22
1
0
16 Jun 2022
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation-
  and Energy-Efficient Inference
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
Xiangjie Li
Chen Lou
Zhengping Zhu
Yuchi Chen
Yingtao Shen
Yehan Ma
An Zou
22
20
0
09 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
Dynamic Split Computing for Efficient Deep Edge Intelligence
Dynamic Split Computing for Efficient Deep Edge Intelligence
Arian Bakhtiarnia
Nemanja Milošević
Qi Zhang
Dragana Bajović
Alexandros Iosifidis
17
24
0
23 May 2022
Efficient Deep Visual and Inertial Odometry with Adaptive Visual
  Modality Selection
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection
Mingyu Yang
Yu Chen
Hun-Seok Kim
30
27
0
12 May 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
A Closer Look at Branch Classifiers of Multi-exit Architectures
Shaohui Lin
Bo Ji
Rongrong Ji
Angela Yao
12
4
0
28 Apr 2022
Dynamic Multimodal Fusion
Dynamic Multimodal Fusion
Zihui Xue
R. Marculescu
34
47
0
31 Mar 2022
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
12
1
0
10 Feb 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
68
49
0
09 Jan 2022
Boosting Mobile CNN Inference through Semantic Memory
Boosting Mobile CNN Inference through Semantic Memory
Yun Li
Chen Zhang
S. Han
Li Lyna Zhang
B. Yin
Yunxin Liu
Mengwei Xu
ObjD
39
16
0
05 Dec 2021
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