ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1711.08393
  4. Cited By
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"

28 / 78 papers shown
Title
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
42
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
27
25
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
6
1
0
22 Nov 2020
High-Capacity Expert Binary Networks
High-Capacity Expert Binary Networks
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
18
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
15
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
J. Hu
18
18
0
18 Aug 2020
WeightNet: Revisiting the Design Space of Weight Networks
WeightNet: Revisiting the Design Space of Weight Networks
Ningning Ma
X. Zhang
Jiawei Huang
Jian-jun Sun
16
106
0
23 Jul 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
29
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
X. Zhang
Xingang Wang
Jian-jun Sun
SSeg
83
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
16
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
16
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
33
393
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
11
16
0
10 Jan 2020
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
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
32
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
22
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
23
44
0
10 Aug 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
14
41
0
15 May 2019
Deep Policy Hashing Network with Listwise Supervision
Deep Policy Hashing Network with Listwise Supervision
Shaoying Wang
Hai-Cheng Lai
Yifan Yang
Jian Yin
16
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
30
51
0
23 Mar 2019
InstaNAS: Instance-aware Neural Architecture Search
InstaNAS: Instance-aware Neural Architecture Search
A. Cheng
Chieh Hubert Lin
Da-Cheng Juan
Wei Wei
Min Sun
22
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
34
444
0
21 Nov 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
14
311
0
12 Oct 2018
MBS: Macroblock Scaling for CNN Model Reduction
MBS: Macroblock Scaling for CNN Model Reduction
Yu-Hsun Lin
Chun-Nan Chou
Edward Y. Chang
MQ
16
4
0
18 Sep 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
17
96
0
10 Jul 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
13
180
0
29 May 2018
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
30
795
0
16 Nov 2017
Previous
12