Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1908.06294
Cited By
Improved Techniques for Training Adaptive Deep Networks
IEEE International Conference on Computer Vision (ICCV), 2019
17 August 2019
Hao Li
Hong Zhang
Xiaojuan Qi
Ruigang Yang
Gao Huang
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Improved Techniques for Training Adaptive Deep Networks"
50 / 75 papers shown
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Bram Adams
Ahmed E. Hassan
VLM
467
1
0
01 Nov 2024
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer
Zheng Liu
Jinchao Zhu
Nannan Li
Gao Huang
252
1
0
21 Sep 2024
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning
Changlin Li
Jiawei Zhang
Sihao Lin
Zongxin Yang
Junwei Liang
Xiaodan Liang
Xiaojun Chang
VLM
302
2
0
06 Sep 2024
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion
ACM Multimedia (MM), 2024
Xu Zhang
Zhipeng Xie
Haiyang Yu
Qitong Wang
Peng Wang
Wei Wang
302
4
0
25 Aug 2024
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
Cheng Gong
Yao Chen
Qiuyang Luo
Ye Lu
Tao Li
Yuzhi Zhang
Yufei Sun
Le Zhang
339
3
0
19 Jul 2024
How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
Bartłomiej Krzepkowski
Bartosz Wójcik
Franciszek Szarwacki
Piotr Kubaty
Jary Pomponi
Tomasz Trzciñski
Bartosz Wójcik
395
2
0
19 Jul 2024
Learning Motion Blur Robust Vision Transformers for Real-Time UAV Tracking
You Wu
Xucheng Wang
Dan Zeng
Hengzhou Ye
Xiaolan Xie
Qijun Zhao
Shuiwang Li
323
5
0
07 Jul 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
International Conference on Machine Learning (ICML), 2024
Royson Lee
Javier Fernandez-Marques
S. Hu
Da Li
Stefanos Laskaridis
Łukasz Dudziak
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
321
13
0
23 May 2024
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting
Omar Hamed
Souhail Bakkali
Marie-Francine Moens
Matthew Blaschko
Jordy Van Landeghem
276
2
0
21 May 2024
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
480
5
0
25 Mar 2024
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
Dhananjay Saikumar
Blesson Varghese
277
2
0
21 Feb 2024
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
Youbing Hu
Yun Cheng
Anqi Lu
Zhiqiang Cao
Dawei Wei
Jie Liu
Zhijun Li
ViT
302
24
0
08 Jan 2024
Adaptive Depth Networks with Skippable Sub-Paths
Woochul Kang
250
2
0
27 Dec 2023
Progressive Painterly Image Harmonization from Low-level Styles to High-level Styles
AAAI Conference on Artificial Intelligence (AAAI), 2023
Li Niu
Yan Hong
Junyan Cao
Liqing Zhang
AI4CE
209
3
0
15 Dec 2023
Learning to Compose SuperWeights for Neural Parameter Allocation Search
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Piotr Teterwak
Soren Nelson
Nikoli Dryden
D. Bashkirova
Kate Saenko
Bryan A. Plummer
307
3
0
03 Dec 2023
Early-Exit Neural Networks with Nested Prediction Sets
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Metod Jazbec
Patrick Forré
Stephan Mandt
Dan Zhang
Eric T. Nalisnick
UQCV
264
2
0
10 Nov 2023
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Seokil Ham
Jun-Gyu Park
Dong-Jun Han
Jaekyun Moon
AAML
299
8
0
01 Nov 2023
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN
Florence Regol
Joud Chataoui
Mark Coates
378
17
0
13 Oct 2023
SINF: Semantic Neural Network Inference with Semantic Subgraphs
Sazzad Sayyed
Jonathan D. Ashdown
300
0
0
02 Oct 2023
Early-Exit with Class Exclusion for Efficient Inference of Neural Networks
International Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2023
Jing Wang
Bing Li
Grace Li Zhang
341
8
0
23 Sep 2023
RAI4IoE: Responsible AI for Enabling the Internet of Energy
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2023
Minhui Xue
Surya Nepal
Ling Liu
Subbu Sethuvenkatraman
Xingliang Yuan
Carsten Rudolph
Ruoxi Sun
Greg Eisenhauer
303
8
0
20 Sep 2023
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
IEEE International Conference on Robotics and Automation (ICRA), 2023
S. Banerjee
Vinay Kumar Verma
Avideep Mukherjee
Deepak Gupta
Vinay P. Namboodiri
Piyush Rai
CLL
312
4
0
15 Sep 2023
Early Exiting Predictive Coding Neural Networks for Edge AI
Alaa Zniber
Ouassim Karrakchou
Mounir Ghogho
Mehdi Zakroum
306
1
0
05 Sep 2023
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Riccardo Miccini
Alaa Zniber
Clément Laroche
Tobias Piechowiak
Martin Schoeberl
Luca Pezzarossa
Ouassim Karrakchou
J. Sparsø
Mounir Ghogho
239
12
0
31 Aug 2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Yulin Wang
Yizeng Han
Chaofei Wang
Shiji Song
Qi Tian
Gao Huang
VLM
352
38
0
27 Aug 2023
Dynamic Perceiver for Efficient Visual Recognition
IEEE International Conference on Computer Vision (ICCV), 2023
Yizeng Han
Dongchen Han
Zeyu Liu
Yulin Wang
Xuran Pan
Yifan Pu
Chaorui Deng
Junlan Feng
Qing Xiao
Gao Huang
323
42
0
20 Jun 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
Neural Information Processing Systems (NeurIPS), 2023
Metod Jazbec
J. Allingham
Dan Zhang
Eric T. Nalisnick
239
16
0
05 Jun 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Yi Sun
Xin Xu
Jiaqiang Li
Xiaochang Hu
Yifei Shi
L. Zeng
578
3
0
31 May 2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
International Conference on Machine Learning (ICML), 2023
Guihong Li
Kartikeya Bhardwaj
Yuedong Yang
R. Marculescu
AAML
321
0
0
13 May 2023
DynamicDet: A Unified Dynamic Architecture for Object Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Zhi-Hao Lin
Yongtao Wang
Jinhe Zhang
Xiaojie Chu
ObjD
273
48
0
12 Apr 2023
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
Neural Information Processing Systems (NeurIPS), 2023
D. Dennis
Abhishek Shetty
A. Sevekari
K. Koishida
Virginia Smith
FedML
289
0
0
20 Feb 2023
Fixing Overconfidence in Dynamic Neural Networks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Lassi Meronen
Martin Trapp
Andrea Pilzer
Le Yang
Arno Solin
BDL
495
25
0
13 Feb 2023
Adaptive Deep Neural Network Inference Optimization with EENet
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Fatih Ilhan
Ka-Ho Chow
Sihao Hu
Tiansheng Huang
Selim Tekin
...
Myungjin Lee
Ramana Rao Kompella
Hugo Latapie
Gan Liu
Ling Liu
331
22
0
15 Jan 2023
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures
Devdhar Patel
H. Siegelmann
OnRL
217
1
0
25 Dec 2022
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Danyang Liu
Xue Liu
157
1
0
24 Dec 2022
SplitGP: Achieving Both Generalization and Personalization in Federated Learning
IEEE Conference on Computer Communications (INFOCOM), 2022
Dong-Jun Han
Do-Yeon Kim
Minseok Choi
Christopher G. Brinton
Jaekyun Moon
FedML
297
56
0
16 Dec 2022
Boosted Dynamic Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Haichao Yu
Haoxiang Li
G. Hua
Gao Huang
Humphrey Shi
208
16
0
30 Nov 2022
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
Computer Vision and Pattern Recognition (CVPR), 2022
Sheng Tang
Yaqing Wang
Zhenglun Kong
Tianchi Zhang
Yao Li
Caiwen Ding
Yanzhi Wang
Yi Liang
Dongkuan Xu
250
51
0
21 Nov 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Bowen Shen
Zheng Lin
Yuanxin Liu
Zhengxiao Liu
Lei Wang
Weiping Wang
VLM
231
6
0
27 Oct 2022
Learning to Weight Samples for Dynamic Early-exiting Networks
European Conference on Computer Vision (ECCV), 2022
Yizeng Han
Yifan Pu
Zihang Lai
Chaofei Wang
Qing Xiao
Junfen Cao
Wenhui Huang
Chao Deng
Gao Huang
337
67
0
17 Sep 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
Computer Vision and Image Understanding (CVIU), 2022
Shaohui Lin
Bo Ji
Rongrong Ji
Angela Yao
224
4
0
28 Apr 2022
Automated Progressive Learning for Efficient Training of Vision Transformers
Computer Vision and Pattern Recognition (CVPR), 2022
Changlin Li
Bohan Zhuang
Guangrun Wang
Xiaodan Liang
Xiaojun Chang
Yi Yang
292
55
0
28 Mar 2022
Glance and Focus Networks for Dynamic Visual Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Gao Huang
Yulin Wang
Kangchen Lv
Haojun Jiang
Wenhui Huang
Pengfei Qi
Qing Xiao
3DH
274
66
0
09 Jan 2022
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
Lingchen Meng
Hengduo Li
Bor-Chun Chen
Shiyi Lan
Zuxuan Wu
Yu-Gang Jiang
Ser-Nam Lim
ViT
336
310
0
30 Nov 2021
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Xiangyang Liu
Tianxiang Sun
Junliang He
Jiawen Wu
Lingling Wu
Xinyu Zhang
Hao Jiang
Bo Zhao
Xuanjing Huang
Xipeng Qiu
ELM
298
59
0
13 Oct 2021
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Changlin Li
Guangrun Wang
Bing Wang
Xiaodan Liang
Zhihui Li
Xiaojun Chang
247
9
0
21 Sep 2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
Yinghan Long
I. Chakraborty
G. Srinivasan
Kaushik Roy
277
16
0
14 Sep 2021
Spatially-Adaptive Image Restoration using Distortion-Guided Networks
Kuldeep Purohit
Maitreya Suin
A. N. Rajagopalan
Vishnu Boddeti
518
150
0
19 Aug 2021
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Maciej Wołczyk
Bartosz Wójcik
Klaudia Bałazy
Igor T. Podolak
Jacek Tabor
Marek Śmieja
Tomasz Trzciñski
AI4CE
275
66
0
09 Jun 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis
Alexandros Kouris
Nicholas D. Lane
TPM
317
150
0
09 Jun 2021
1
2
Next
Page 1 of 2
