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SkipNet: Learning Dynamic Routing in Convolutional Networks
v1v2 (latest)

SkipNet: Learning Dynamic Routing in Convolutional Networks

26 November 2017
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
ArXiv (abs)PDFHTML

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

50 / 360 papers shown
Title
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
80
31
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
MoEMoMe
71
6
0
11 Apr 2023
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
Yuhang Li
Tamar Geller
Youngeun Kim
Priyadarshini Panda
98
41
0
02 Apr 2023
Progressive Channel-Shrinking Network
Progressive Channel-Shrinking Network
Jianhong Pan
Siyuan Yang
Lin Geng Foo
Qiuhong Ke
Hossein Rahmani
Zhipeng Fan
Jing Liu
34
1
0
01 Apr 2023
GradMDM: Adversarial Attack on Dynamic Networks
GradMDM: Adversarial Attack on Dynamic Networks
Jianhong Pan
Lin Geng Foo
Qichen Zheng
Zhipeng Fan
Hossein Rahmani
Qiuhong Ke
Jing Liu
AAML
75
7
0
01 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
Jing Liu
AI4TS
73
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
111
1
0
26 Mar 2023
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
Xiaotao Hu
Zhewei Huang
Ailin Huang
Jun Xu
Shuchang Zhou
VGen
96
71
0
17 Mar 2023
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for
  Accelerating BERT Inference
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference
Boren Hu
Yun Zhu
Jiacheng Li
Siliang Tang
58
9
0
16 Mar 2023
DynaMask: Dynamic Mask Selection for Instance Segmentation
DynaMask: Dynamic Mask Selection for Instance Segmentation
Ruihuang Li
Chenhang He
Shuai Li
Yabin Zhang
Lei Zhang
ISeg
58
18
0
14 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
92
83
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
67
25
0
14 Mar 2023
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse
  Edge Environments
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments
Hao Wen
Yuanchun Li
Zunshuai Zhang
Shiqi Jiang
Xiaozhou Ye
Ouyang Ye
Yaqin Zhang
Yunxin Liu
137
33
0
13 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
71
9
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
84
22
0
27 Feb 2023
Towards Fairer and More Efficient Federated Learning via
  Multidimensional Personalized Edge Models
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
Yingchun Wang
Jingcai Guo
Jie Zhang
Song Guo
Weizhan Zhang
Qinghua Zheng
FedML
106
11
0
09 Feb 2023
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement
  Learning
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
Yingchun Wang
Jingcai Guo
Song Guo
Weizhan Zhang
MQ
75
21
0
09 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient
  approaches along the Deep Learning Lifecycle
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
HAIMedIm
127
20
0
05 Feb 2023
Unifying Synergies between Self-supervised Learning and Dynamic
  Computation
Unifying Synergies between Self-supervised Learning and Dynamic Computation
Tarun Krishna
Ayush K. Rai
Alexandru Drimbarean
Eric Arazo
Paul Albert
Alan F. Smeaton
Kevin McGuinness
Noel E. O'Connor
80
0
0
22 Jan 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 Sun
Nanning Zheng
ViT
82
34
0
10 Jan 2023
Dynamically Modular and Sparse General Continual Learning
Dynamically Modular and Sparse General Continual Learning
Arnav Varma
Elahe Arani
Bahram Zonooz
35
1
0
02 Jan 2023
Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ
  Trade-Off Between Accuracy and Robustness of DNNs
Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs
Souvik Kundu
Sairam Sundaresan
S. N. Sridhar
Shunlin Lu
Han Tang
Peter A. Beerel
AAMLMoE
103
4
0
27 Dec 2022
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit
  Neural Architectures
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures
Devdhar Patel
H. Siegelmann
OnRL
78
1
0
25 Dec 2022
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
79
2
0
10 Dec 2022
DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML
  Workloads
DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads
Seah Kim
Hyoukjun Kwon
Jinook Song
Jihyuck Jo
Yu-Hsin Chen
Liangzhen Lai
Vikas Chandra
AI4TS
67
11
0
07 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
73
2
0
06 Dec 2022
Understanding the Robustness of Multi-Exit Models under Common
  Corruptions
Understanding the Robustness of Multi-Exit Models under Common Corruptions
Akshay Mehra
Skyler Seto
Navdeep Jaitly
B. Theobald
AAML
81
4
0
03 Dec 2022
Boosted Dynamic Neural Networks
Boosted Dynamic Neural Networks
Haichao Yu
Haoxiang Li
G. Hua
Gao Huang
Humphrey Shi
96
8
0
30 Nov 2022
Flow: Per-Instance Personalized Federated Learning Through Dynamic
  Routing
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing
Kunjal Panchal
Sunav Choudhary
Nisarg Parikh
Lijun Zhang
Hui Guan
120
5
0
28 Nov 2022
Latent Iterative Refinement for Modular Source Separation
Latent Iterative Refinement for Modular Source Separation
Dimitrios Bralios
Efthymios Tzinis
Gordon Wichern
Paris Smaragdis
Jonathan Le Roux
BDL
60
5
0
22 Nov 2022
Path Independent Equilibrium Models Can Better Exploit Test-Time
  Computation
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
Cem Anil
Ashwini Pokle
Kaiqu Liang
Johannes Treutlein
Yuhuai Wu
Shaojie Bai
Zico Kolter
Roger C. Grosse
60
17
0
18 Nov 2022
Dual Complementary Dynamic Convolution for Image Recognition
Dual Complementary Dynamic Convolution for Image Recognition
Longbin Yan
Yunxiao Qin
Shumin Liu
Jie Chen
69
0
0
11 Nov 2022
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning
Yang Zhou
Yuda Song
Hui Qian
Xin Du
VLM
65
1
0
10 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
65
21
0
25 Oct 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks
Dynamics-aware Adversarial Attack of Adaptive Neural Networks
An Tao
Yueqi Duan
Yingqi Wang
Jiwen Lu
Jie Zhou
AAML
82
5
0
15 Oct 2022
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
56
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
92
25
0
12 Oct 2022
DeepPerform: An Efficient Approach for Performance Testing of
  Resource-Constrained Neural Networks
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
Simin Chen
Mirazul Haque
Cong Liu
Wei Yang
110
22
0
10 Oct 2022
LLMEffiChecker: Understanding and Testing Efficiency Degradation of
  Large Language Models
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models
Simin Chen
Cong Liu
Mirazul Haque
Wei Yang
89
24
0
07 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
ReLMKELMLRM
254
646
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
97
8
0
27 Sep 2022
Diversified Dynamic Routing for Vision Tasks
Diversified Dynamic Routing for Vision Tasks
Botos Csaba
Adel Bibi
Yanwei Li
Philip Torr
Ser-Nam Lim
MoE
105
0
0
26 Sep 2022
Learning to Weight Samples for Dynamic Early-exiting Networks
Learning to Weight Samples for Dynamic Early-exiting Networks
Yizeng Han
Yifan Pu
Zihang Lai
Chaofei Wang
S. Song
Junfen Cao
Wenhui Huang
Chao Deng
Gao Huang
121
57
0
17 Sep 2022
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action
  Recognition
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
Tianjiao Li
Lin Geng Foo
Qiuhong Ke
Hossein Rahmani
Anran Wang
Jinghua Wang
Jing Liu
81
23
0
03 Sep 2022
Orloj: Predictably Serving Unpredictable DNNs
Orloj: Predictably Serving Unpredictable DNNs
Peifeng Yu
Yuqing Qiu
Xin Jin
Mosharaf Chowdhury
35
1
0
31 Aug 2022
Context-Aware Streaming Perception in Dynamic Environments
Context-Aware Streaming Perception in Dynamic Environments
Gur-Eyal Sela
Ionel Gog
J. Wong
Kumar Krishna Agrawal
Xiangxi Mo
...
Eric Leong
Xin Wang
Bharathan Balaji
Joseph E. Gonzalez
Ion Stoica
78
10
0
16 Aug 2022
Efficient High-Resolution Deep Learning: A Survey
Efficient High-Resolution Deep Learning: A Survey
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
MedIm
154
21
0
26 Jul 2022
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection
Jinrong Yang
Lin Song
Songtao Liu
Weixin Mao
Zeming Li
Xiaoping Li
Hongbin Sun
Jian‐Yuan Sun
Nanning Zheng
3DPC
143
27
0
22 Jul 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
Jing Liu
66
15
0
20 Jul 2022
Confident Adaptive Language Modeling
Confident Adaptive Language Modeling
Tal Schuster
Adam Fisch
Jai Gupta
Mostafa Dehghani
Dara Bahri
Vinh Q. Tran
Yi Tay
Donald Metzler
151
170
0
14 Jul 2022
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