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BlockDrop: Dynamic Inference Paths in Residual Networks

BlockDrop: Dynamic Inference Paths in Residual Networks

22 November 2017
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
ArXivPDFHTML

Papers citing "BlockDrop: Dynamic Inference Paths in Residual Networks"

50 / 105 papers shown
Title
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature
  Propagation and Online Policies
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies
Thomas Verelst
Tinne Tuytelaars
OffRL
12
15
0
20 Aug 2021
Spatially-Adaptive Image Restoration using Distortion-Guided Networks
Spatially-Adaptive Image Restoration using Distortion-Guided Networks
Kuldeep Purohit
Maitreya Suin
A. N. Rajagopalan
Vishnu Boddeti
15
116
0
19 Aug 2021
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge
  Computing: A Contextual-Bandit Approach
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach
Mao V. Ngo
Tie-Mei Luo
Tony Q.S. Quek
30
14
0
09 Aug 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision
  Transformers
IA-RED2^22: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan
Yikang Shen
Yi Ding
Zhangyang Wang
Rogerio Feris
A. Oliva
VLM
ViT
39
156
0
23 Jun 2021
Dynamic Resolution Network
Dynamic Resolution Network
Mingjian Zhu
Kai Han
Enhua Wu
Qiulin Zhang
Ying Nie
Zhenzhong Lan
Yunhe Wang
OOD
37
49
0
05 Jun 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
Yikang Shen
Chun-Fu Chen
Quanfu Fan
Ximeng Sun
Kate Saenko
A. Oliva
Rogerio Feris
36
47
0
11 May 2021
MOOD: Multi-level Out-of-distribution Detection
MOOD: Multi-level Out-of-distribution Detection
Ziqian Lin
Sreya . Dutta Roy
Yixuan Li
OODD
34
114
0
30 Apr 2021
Knowledge Evolution in Neural Networks
Knowledge Evolution in Neural Networks
Ahmed Taha
Abhinav Shrivastava
L. Davis
49
21
0
09 Mar 2021
VA-RED$^2$: Video Adaptive Redundancy Reduction
VA-RED2^22: Video Adaptive Redundancy Reduction
Bowen Pan
Yikang Shen
Camilo Luciano Fosco
Chung-Ching Lin
A. Andonian
Yue Meng
Kate Saenko
A. Oliva
Rogerio Feris
15
19
0
15 Feb 2021
Learning Task-Oriented Communication for Edge Inference: An Information
  Bottleneck Approach
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao
Yuyi Mao
Jun Zhang
52
212
0
08 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
676
0
24 Jan 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Y. Fu
Haoran You
Yang Katie Zhao
Yue Wang
Chaojian Li
K. Gopalakrishnan
Zhangyang Wang
Yingyan Lin
MQ
38
32
0
24 Dec 2020
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised
  Video Object Segmentation
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
Hyojin Park
Jayeon Yoo
Seohyeong Jeong
Ganesh Venkatesh
Nojun Kwak
VOS
31
36
0
21 Dec 2020
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate
  Models
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
Xiaofang Wang
Dan Kondratyuk
Eric Christiansen
Kris Kitani
Y. Alon
Elad Eban
13
46
0
03 Dec 2020
Dynamic Feature Pyramid Networks for Object Detection
Dynamic Feature Pyramid Networks for Object Detection
Mingjian Zhu
Kai Han
Changbin (Brad) Yu
Yunhe Wang
ObjD
27
21
0
01 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 2020
MicroNet: Towards Image Recognition with Extremely Low FLOPs
MicroNet: Towards Image Recognition with Extremely Low FLOPs
Yunsheng Li
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Lu Yuan
Zicheng Liu
Lei Zhang
Nuno Vasconcelos
30
25
0
24 Nov 2020
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time
  Segmentation
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
Thomas Verelst
Tinne Tuytelaars
SSeg
10
16
0
24 Nov 2020
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep
  Neural Networks
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks
Fuxun Yu
Dimitrios Stamoulis
Di Wang
Dimitrios Lymberopoulos
Xiang Chen
3DV
22
1
0
22 Nov 2020
High-Capacity Expert Binary Networks
High-Capacity Expert Binary Networks
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
27
57
0
07 Oct 2020
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
Kun Yuan
Quanquan Li
Dapeng Chen
Aojun Zhou
Junjie Yan
GNN
23
1
0
02 Oct 2020
Personalized Deep Learning for Ventricular Arrhythmias Detection on
  Medical IoT Systems
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems
Zhenge Jia
Zhepeng Wang
Feng Hong
Lichuan Ping
Yiyu Shi
Jiaxi Hu
26
18
0
18 Aug 2020
Fully Dynamic Inference with Deep Neural Networks
Fully Dynamic Inference with Deep Neural Networks
Wenhan Xia
Hongxu Yin
Xiaoliang Dai
N. Jha
3DH
BDL
26
39
0
29 Jul 2020
WeightNet: Revisiting the Design Space of Weight Networks
WeightNet: Revisiting the Design Space of Weight Networks
Ningning Ma
Xinming Zhang
Jiawei Huang
Jian Sun
16
106
0
23 Jul 2020
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Z. Su
Linpu Fang
Wenxiong Kang
D. Hu
M. Pietikäinen
Li Liu
15
44
0
08 Jul 2020
Exploring Sparsity in Image Super-Resolution for Efficient Inference
Exploring Sparsity in Image Super-Resolution for Efficient Inference
Longguang Wang
Xiaoyu Dong
Yingqian Wang
Xinyi Ying
Zaiping Lin
W. An
Yulan Guo
SupR
31
4
0
17 Jun 2020
Real-time Human Activity Recognition Using Conditionally Parametrized
  Convolutions on Mobile and Wearable Devices
Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices
Xin-Hua Cheng
Lefei Zhang
Yin Tang
Yue Liu
Hao Wu
Jun He
CVBM
3DH
HAI
22
55
0
05 Jun 2020
Computation on Sparse Neural Networks: an Inspiration for Future
  Hardware
Computation on Sparse Neural Networks: an Inspiration for Future Hardware
Fei Sun
Minghai Qin
Tianyun Zhang
Liu Liu
Yen-kuang Chen
Yuan Xie
37
7
0
24 Apr 2020
Learning Dynamic Routing for Semantic Segmentation
Learning Dynamic Routing for Semantic Segmentation
Yanwei Li
Lin Song
Yukang Chen
Zeming Li
Xinming Zhang
Xingang Wang
Jian Sun
SSeg
88
163
0
23 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
24
215
0
16 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning
Learning When and Where to Zoom with Deep Reinforcement Learning
Burak Uzkent
Stefano Ermon
27
66
0
01 Mar 2020
Learning in the Frequency Domain
Learning in the Frequency Domain
Kai Xu
Minghai Qin
Fei Sun
Yuhao Wang
Yen-kuang Chen
Fengbo Ren
39
395
0
27 Feb 2020
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing
Mao V. Ngo
H. Chaouchi
Tie-Mei Luo
Tony Q.S. Quek
24
16
0
10 Jan 2020
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
871
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
30
30
0
16 Nov 2019
ALERT: Accurate Learning for Energy and Timeliness
ALERT: Accurate Learning for Energy and Timeliness
Chengcheng Wan
M. Santriaji
E. Rogers
H. Hoffmann
Michael Maire
Shan Lu
AI4CE
45
40
0
31 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
Deep Elastic Networks with Model Selection for Multi-Task Learning
Deep Elastic Networks with Model Selection for Multi-Task Learning
Chanho Ahn
Eunwoo Kim
Songhwai Oh
49
49
0
11 Sep 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth
  Weights and Activations
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang
Jing Liu
Mingkui Tan
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
29
45
0
10 Aug 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
846
0
17 May 2019
Dynamic Neural Network Channel Execution for Efficient Training
Dynamic Neural Network Channel Execution for Efficient Training
Simeon E. Spasov
Pietro Lio
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
Question Guided Modular Routing Networks for Visual Question Answering
Question Guided Modular Routing Networks for Visual Question Answering
Yanze Wu
Qiang Sun
Jianqi Ma
Bin Li
Yanwei Fu
Yao Peng
Xiangyang Xue
23
1
0
17 Apr 2019
Deep Policy Hashing Network with Listwise Supervision
Deep Policy Hashing Network with Listwise Supervision
Shaoying Wang
Hai-Cheng Lai
Yifan Yang
Jian Yin
31
3
0
03 Apr 2019
StartNet: Online Detection of Action Start in Untrimmed Videos
StartNet: Online Detection of Action Start in Untrimmed Videos
M. Gao
Mingze Xu
L. Davis
R. Socher
Caiming Xiong
38
51
0
23 Mar 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
38
548
0
21 Dec 2018
InstaNAS: Instance-aware Neural Architecture Search
InstaNAS: Instance-aware Neural Architecture Search
A. Cheng
Chieh Hubert Lin
Da-Cheng Juan
Wei Wei
Min Sun
30
46
0
26 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
36
446
0
21 Nov 2018
Anytime Stereo Image Depth Estimation on Mobile Devices
Anytime Stereo Image Depth Estimation on Mobile Devices
Yan Wang
Zihang Lai
Gao Huang
Brian H. Wang
Laurens van der Maaten
M. Campbell
Kilian Q. Weinberger
27
184
0
26 Oct 2018
Dynamic Channel Pruning: Feature Boosting and Suppression
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao
Yiren Zhao
L. Dudziak
Robert D. Mullins
Chengzhong Xu
42
311
0
12 Oct 2018
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