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Improved Techniques for Training Adaptive Deep Networks

Improved Techniques for Training Adaptive Deep Networks

17 August 2019
Hao Li
Hong Zhang
Xiaojuan Qi
Ruigang Yang
Gao Huang
ArXivPDFHTML

Papers citing "Improved Techniques for Training Adaptive Deep Networks"

28 / 28 papers shown
Title
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Bram Adams
Ahmed E. Hassan
VLM
36
0
0
01 Nov 2024
Learning Motion Blur Robust Vision Transformers with Dynamic Early Exit
  for Real-Time UAV Tracking
Learning Motion Blur Robust Vision Transformers with Dynamic Early Exit for Real-Time UAV Tracking
You Wu
Xucheng Wang
Dan Zeng
Hengzhou Ye
Xiaolan Xie
Qijun Zhao
Shuiwang Li
35
3
0
07 Jul 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Emad Fallahzadeh
Bram Adams
Ahmed E. Hassan
MQ
32
3
0
25 Mar 2024
Adaptive Depth Networks with Skippable Sub-Paths
Adaptive Depth Networks with Skippable Sub-Paths
Woochul Kang
28
1
0
27 Dec 2023
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
Riccardo Miccini
Alaa Zniber
Clément Laroche
Tobias Piechowiak
Martin Schoeberl
Luca Pezzarossa
Ouassim Karrakchou
J. Sparsø
Mounir Ghogho
25
1
0
31 Aug 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
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
23
30
0
12 Apr 2023
Fixing Overconfidence in Dynamic Neural Networks
Fixing Overconfidence in Dynamic Neural Networks
Lassi Meronen
Martin Trapp
Andrea Pilzer
Le Yang
Arno Solin
BDL
28
16
0
13 Feb 2023
Adaptive Deep Neural Network Inference Optimization with EENet
Adaptive Deep Neural Network Inference Optimization with EENet
Fatih Ilhan
Ka-Ho Chow
Sihao Hu
Tiansheng Huang
Selim Tekin
...
Myungjin Lee
Ramana Rao Kompella
Hugo Latapie
Gan Liu
Ling Liu
26
11
0
15 Jan 2023
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Danyang Liu
Xue Liu
20
0
0
24 Dec 2022
SplitGP: Achieving Both Generalization and Personalization in Federated
  Learning
SplitGP: Achieving Both Generalization and Personalization in Federated Learning
Dong-Jun Han
Do-Yeon Kim
Minseok Choi
Christopher G. Brinton
Jaekyun Moon
FedML
18
31
0
16 Dec 2022
Boosted Dynamic Neural Networks
Boosted Dynamic Neural Networks
Haichao Yu
Haoxiang Li
G. Hua
Gao Huang
Humphrey Shi
30
7
0
30 Nov 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency
  with Slenderized Multi-exit Language Models
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models
Bowen Shen
Zheng Lin
Yuanxin Liu
Zhengxiao Liu
Lei Wang
Weiping Wang
VLM
33
4
0
27 Oct 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
Automated Progressive Learning for Efficient Training of Vision
  Transformers
Automated Progressive Learning for Efficient Training of Vision Transformers
Changlin Li
Bohan Zhuang
Guangrun Wang
Xiaodan Liang
Xiaojun Chang
Yi Yang
20
46
0
28 Mar 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
71
49
0
09 Jan 2022
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Xiangyang Liu
Tianxiang Sun
Junliang He
Jiawen Wu
Lingling Wu
Xinyu Zhang
Hao Jiang
Zhao Cao
Xuanjing Huang
Xipeng Qiu
ELM
21
46
0
13 Oct 2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud
  Distributed AI Systems
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
Yinghan Long
I. Chakraborty
G. Srinivasan
Kaushik Roy
19
14
0
14 Sep 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less
  Overhead
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
25
35
0
19 May 2021
MOOD: Multi-level Out-of-distribution Detection
MOOD: Multi-level Out-of-distribution Detection
Ziqian Lin
Sreya . Dutta Roy
Yixuan Li
OODD
23
114
0
30 Apr 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey
  and Research Challenges
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
22
199
0
08 Mar 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
124
673
0
24 Jan 2021
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized
  Deep Neural Networks
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo
Sungho Shin
Jungwook Choi
Wonyong Sung
MQ
16
29
0
30 Sep 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device
  and Cloud
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Stefanos Laskaridis
Stylianos I. Venieris
Mario Almeida
Ilias Leontiadis
Nicholas D. Lane
28
265
0
14 Aug 2020
HAPI: Hardware-Aware Progressive Inference
HAPI: Hardware-Aware Progressive Inference
Stefanos Laskaridis
Stylianos I. Venieris
Hyeji Kim
Nicholas D. Lane
9
45
0
10 Aug 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
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
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
192
473
0
12 Jun 2018
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