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. 1701.00299
  4. Cited By
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs
  by Selective Execution

Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution

2 January 2017
Lanlan Liu
Jia Deng
ArXivPDFHTML

Papers citing "Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution"

28 / 28 papers shown
Title
Predicting Probabilities of Error to Combine Quantization and Early
  Exiting: QuEE
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE
Florence Regol
Joud Chataoui
Bertrand Charpentier
Mark J. Coates
Pablo Piantanida
Stephan Gunnemann
45
0
0
20 Jun 2024
Model Adaptation for Time Constrained Embodied Control
Model Adaptation for Time Constrained Embodied Control
Jaehyun Song
Minjong Yoo
Honguk Woo
42
0
0
17 Jun 2024
GPFL: Simultaneously Learning Global and Personalized Feature
  Information for Personalized Federated Learning
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
39
23
0
20 Aug 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
52
0
0
23 May 2023
Small-footprint slimmable networks for keyword spotting
Small-footprint slimmable networks for keyword spotting
Zuhaib Akhtar
Mohammad Omar Khursheed
Dongsu Du
Yuzong Liu
30
2
0
21 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
Xiaozhong Liu
AAML
16
6
0
01 Apr 2023
Towards Inference Efficient Deep Ensemble Learning
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li
Kan Ren
Yifan Yang
Xinyang Jiang
Yuqing Yang
Dongsheng Li
BDL
26
12
0
29 Jan 2023
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
17
1
0
10 Feb 2022
AdaViT: Adaptive Tokens for Efficient Vision Transformer
AdaViT: Adaptive Tokens for Efficient Vision Transformer
Hongxu Yin
Arash Vahdat
J. Álvarez
Arun Mallya
Jan Kautz
Pavlo Molchanov
ViT
35
314
0
14 Dec 2021
FOVEA: Foveated Image Magnification for Autonomous Navigation
FOVEA: Foveated Image Magnification for Autonomous Navigation
Chittesh Thavamani
Mengtian Li
N. Cebron
Deva Ramanan
33
32
0
27 Aug 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative
  Architecture for DNN Inference
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
Min Li
Yu Li
Ye Tian
Li Jiang
Qiang Xu
36
33
0
10 May 2021
Coarse-Fine Networks for Temporal Activity Detection in Videos
Coarse-Fine Networks for Temporal Activity Detection in Videos
Kumara Kahatapitiya
Michael S. Ryoo
AI4TS
53
38
0
01 Mar 2021
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
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
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for
  Enabling Ubiquitous Intelligent Mobiles
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles
Sicong Liu
Junzhao Du
Kaiming Nan
Zimu Zhou
Zhangyang Wang
Yingyan Lin
32
30
0
08 Jun 2020
Improving IoT Analytics through Selective Edge Execution
Improving IoT Analytics through Selective Edge Execution
Apostolos Galanopoulos
Argyrios G. Tasiopoulos
Georgios Iosifidis
Theodoros Salonidis
D. Leith
19
3
0
07 Mar 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
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
27
30
0
16 Nov 2019
Interpretable Image Recognition with Hierarchical Prototypes
Interpretable Image Recognition with Hierarchical Prototypes
Peter Hase
Chaofan Chen
Oscar Li
Cynthia Rudin
VLM
17
110
0
25 Jun 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
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
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
22
547
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
24
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
445
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
33
311
0
12 Oct 2018
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
Jordi Torres
Shih-Fu Chang
21
217
0
22 Aug 2017
1