ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.03213
  4. Cited By
Enabling On-Device CNN Training by Self-Supervised Instance Filtering
  and Error Map Pruning

Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning

7 July 2020
Yawen Wu
Zhepeng Wang
Yiyu Shi
Jiaxi Hu
ArXiv (abs)PDFHTML

Papers citing "Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning"

26 / 26 papers shown
A Self-guided Multimodal Approach to Enhancing Graph Representation
  Learning for Alzheimer's Diseases
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases
Zhepeng Wang
Runxue Bao
Yawen Wu
Guodong Liu
Lei Yang
Chen Tang
Feng Zheng
Weiwen Jiang
Jinming Duan
477
2
0
09 Dec 2024
Unlocking Memorization in Large Language Models with Dynamic Soft
  Prompting
Unlocking Memorization in Large Language Models with Dynamic Soft PromptingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Zhepeng Wang
Runxue Bao
Yawen Wu
Jackson Taylor
Cao Xiao
Feng Zheng
Weiwen Jiang
Shangqian Gao
Yanfu Zhang
PILM
238
24
0
20 Sep 2024
SmartFRZ: An Efficient Training Framework using Attention-Based Layer
  Freezing
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
Sheng Li
Geng Yuan
Yuezhen Dai
Youtao Zhang
Yanzhi Wang
Xulong Tang
428
28
0
30 Jan 2024
Green Edge AI: A Contemporary Survey
Green Edge AI: A Contemporary SurveyProceedings of the IEEE (Proc. IEEE), 2023
Yuyi Mao
X. Yu
Kaibin Huang
Ying-Jun Angela Zhang
Jun Zhang
488
80
0
01 Dec 2023
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
Truong Thao Nguyen
Balazs Gerofi
Edgar Josafat Martinez-Noriega
Franccois Trahay
Mohamed Wahib
287
2
0
16 Oct 2023
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge
  Devices
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices
Zhepeng Wang
Isaacshubhanand Putla
Weiwen Jiang
Youzuo Lin
260
3
0
14 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A
  survey
Enabling Resource-efficient AIoT System with Cross-level Optimization: A surveyIEEE Communications Surveys and Tutorials (COMST), 2023
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
359
42
0
27 Sep 2023
LinGCN: Structural Linearized Graph Convolutional Network for
  Homomorphically Encrypted Inference
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted InferenceNeural Information Processing Systems (NeurIPS), 2023
Hongwu Peng
Ran Ran
Yukui Luo
Jiahui Zhao
Shaoyi Huang
...
Tong Geng
Chenghong Wang
Xiaolin Xu
Wujie Wen
Caiwen Ding
414
49
0
25 Sep 2023
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and
  Dataflow Co-Design
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-DesignIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023
Chao Fang
Wei Sun
Aojun Zhou
Zhongfeng Wang
235
20
0
22 Sep 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
AutoReP: Automatic ReLU Replacement for Fast Private Network InferenceIEEE International Conference on Computer Vision (ICCV), 2023
Hongwu Peng
Shaoyi Huang
Tong Zhou
Yukui Luo
Chenghong Wang
...
Tony Geng
Kaleel Mahmood
Wujie Wen
Xiaolin Xu
Caiwen Ding
OffRL
361
44
0
20 Aug 2023
PASNet: Polynomial Architecture Search Framework for Two-party
  Computation-based Secure Neural Network Deployment
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network DeploymentDesign Automation Conference (DAC), 2023
Hongwu Peng
Shangli Zhou
Yukui Luo
Nuo Xu
Shijin Duan
...
Chenghong Wang
Tong Geng
Wujie Wen
Xiaolin Xu
Caiwen Ding
251
11
0
27 Jun 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Repeated Random Sampling for Minimizing the Time-to-Accuracy of LearningInternational Conference on Learning Representations (ICLR), 2023
Patrik Okanovic
R. Waleffe
Vasilis Mageirakos
Konstantinos E. Nikolakakis
Amin Karbasi
Dionysis Kalogerias
Nezihe Merve Gürel
Theodoros Rekatsinas
DD
294
28
0
28 May 2023
SoundSieve: Seconds-Long Audio Event Recognition on
  Intermittently-Powered Systems
SoundSieve: Seconds-Long Audio Event Recognition on Intermittently-Powered SystemsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2023
Mahathir Monjur
Yubo Luo
Zhenyu Wang
S. Nirjon
222
8
0
25 May 2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning
  Model
QuMoS: A Framework for Preserving Security of Quantum Machine Learning ModelInternational Conference on Quantum Computing and Engineering (QCE), 2023
Zhepeng Wang
Jinyang Li
Zhirui Hu
Blake Gage
Elizabeth Iwasawa
Weiwen Jiang
342
16
0
23 Apr 2023
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation
  Based Private Inference
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference
Hongwu Peng
Shangli Zhou
Yukui Luo
Nuo Xu
Shijin Duan
...
Chenghong Wang
Tong Geng
Wujie Wen
Xiaolin Xu
Caiwen Ding
286
18
0
05 Feb 2023
Self-supervised On-device Federated Learning from Unlabeled Streams
Self-supervised On-device Federated Learning from Unlabeled StreamsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Jiahe Shi
Yawen Wu
Dewen Zeng
Jun Tao
Jingtong Hu
Yiyu Shi
FedML
347
9
0
02 Dec 2022
Enabling Weakly-Supervised Temporal Action Localization from On-Device
  Learning of the Video Stream
Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video StreamIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Yue Tang
Yawen Wu
Peipei Zhou
Jingtong Hu
198
2
0
25 Aug 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder
  for Dermatological Disease Diagnosis
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
326
10
0
24 Aug 2022
Achieving Fairness in Dermatological Disease Diagnosis through Automatic
  Weight Adjusting Federated Learning and Personalization
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization
Gelei Xu
Yawen Wu
Jingtong Hu
Yiyu Shi
FedML
287
9
0
23 Aug 2022
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit
  Model Identification
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model IdentificationInternational Conference on Information and Knowledge Management (CIKM), 2022
Runxue Bao
Bin Gu
Heng-Chiao Huang
304
18
0
11 Aug 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A ReviewIEEE Sensors Journal (IEEE Sens. J.), 2022
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
719
199
0
29 May 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via
  On-device Learning
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
FedML
222
35
0
14 Feb 2022
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron
  Designs
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs
Zhepeng Wang
Zhiding Liang
Shangli Zhou
Caiwen Ding
Yiyu Shi
Weiwen Jiang
311
35
0
08 Sep 2021
Enabling On-Device Self-Supervised Contrastive Learning With Selective
  Data Contrast
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data ContrastDesign Automation Conference (DAC), 2021
Yawen Wu
Zhepeng Wang
Dewen Zeng
Yiyu Shi
Jingtong Hu
SSL
287
29
0
07 Jun 2021
When Machine Learning Meets Quantum Computers: A Case Study
When Machine Learning Meets Quantum Computers: A Case StudyAsia and South Pacific Design Automation Conference (ASP-DAC), 2020
Weiwen Jiang
Jinjun Xiong
Yiyu Shi
237
29
0
18 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's PerspectiveNeurocomputing (Neurocomputing), 2020
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
330
160
0
25 Nov 2020
1
Page 1 of 1