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Split-and-Bridge: Adaptable Class Incremental Learning within a Single
  Neural Network

Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network

3 July 2021
Jong-Yeong Kim
Dong-Wan Choi
    CLL
ArXiv (abs)PDFHTML

Papers citing "Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network"

12 / 12 papers shown
Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu
Yao Du
Kun Yang
Yan Wang
Yan Wang
...
Zehua Wang
Yang Liu
Peng Sun
Azzedine Boukerche
Victor C.M. Leung
387
10
0
03 May 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual LearningComputer Vision and Pattern Recognition (CVPR), 2025
Xuan Liu
Xiaobin Chang
CLL
993
7
0
23 Mar 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global ForgettingInternational Conference on Learning Representations (ICLR), 2025
Milad Khademi Nori
Il-Min Kim
Guanghui
CLL
377
3
0
26 Jan 2025
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for
  Continual Learning
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning
Prashant Shivaram Bhat
Bharath Renjith
Elahe Arani
Bahram Zonooz
CLL
202
4
0
28 Apr 2024
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class
  Incremental Learning
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental LearningInternational Conference on Information and Knowledge Management (CIKM), 2023
Anton Lee
Yaqian Zhang
Heitor Murilo Gomes
Nikolaos Perrakis
Bernhard Pfahringer
CLL
161
3
0
30 Oct 2023
Dynamic Residual Classifier for Class Incremental Learning
Dynamic Residual Classifier for Class Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2023
Xiu-yan Chen
Xiaobin Chang
110
24
0
25 Aug 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical
  Images
Leveraging Old Knowledge to Continually Learn New Classes in Medical ImagesAAAI Conference on Artificial Intelligence (AAAI), 2023
Evelyn Chee
Yang Deng
Wynne Hsu
CLL
94
12
0
24 Mar 2023
No One Left Behind: Real-World Federated Class-Incremental Learning
No One Left Behind: Real-World Federated Class-Incremental LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jiahua Dong
Hongliu Li
Yang Cong
Gan Sun
Yulun Zhang
Dengxin Dai
FedMLCLL
309
68
0
02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
661
1,019
0
31 Jan 2023
Multi-domain Learning for Updating Face Anti-spoofing Models
Multi-domain Learning for Updating Face Anti-spoofing ModelsEuropean Conference on Computer Vision (ECCV), 2022
Xiao Guo
Yaojie Liu
Anil Jain
Xiaoming Liu
CLLCVBM
144
47
0
23 Aug 2022
Federated Class-Incremental Learning
Federated Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2022
Jiahua Dong
Lixu Wang
Zhen Fang
Gan Sun
Shichao Xu
Tianlin Li
Qi Zhu
CLLFedML
290
234
0
22 Mar 2022
Graph Few-shot Class-incremental Learning
Graph Few-shot Class-incremental LearningWeb Search and Data Mining (WSDM), 2021
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
CLLGNN
158
64
0
23 Dec 2021
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