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Class-incremental Learning via Deep Model Consolidation

Class-incremental Learning via Deep Model Consolidation

19 March 2019
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
    CLL
ArXivPDFHTML

Papers citing "Class-incremental Learning via Deep Model Consolidation"

50 / 184 papers shown
Title
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
Jianing Wang
Siying Guo
Zheng Hua
Runhu Huang
Jinyu Hu
Maoguo Gong
2
0
0
17 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori
Il Kim
Guanghui Wang
CLL
50
0
0
09 May 2025
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
26
0
0
07 May 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Kun He
Zijian Song
Shuoxi Zhang
J. Hopcroft
CLL
56
0
0
25 Apr 2025
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Muhammad Osama Zeeshan
M. Pedersoli
A. L. Koerich
Eric Grange
26
0
0
05 Apr 2025
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
Sijia Li
Young D. Kwon
Lik-Hang Lee
Pan Hui
36
0
0
31 Mar 2025
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma
Ruiyu Wang
Sen Wang
Wei Ji
Q. Sun
CLL
KELM
65
0
0
08 Mar 2025
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental
  Learning
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
Chengyan Liu
Linglan Zhao
Fan Lyu
Kaile Du
Fuyuan Hu
Tao Zhou
CLL
78
0
0
17 Dec 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning
Zhiming Xu
Steve Yang
Baile Xu
Jian Zhao
Furao Shen
CLL
81
0
0
26 Nov 2024
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
Nazia Tasnim
Bryan A. Plummer
CLL
OffRL
74
0
0
25 Nov 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective
  Feature Synthesis
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
Liang Bai
Hong Song
Yucong Lin
Tianyu Fu
Deqiang Xiao
Danni Ai
Jingfan Fan
Jian Yang
CLL
38
0
0
03 Nov 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental
  Learning: A Mathematical Framework for Discriminative and Generative
  Modelings
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
Milad Khademi Nori
Il Kim
CLL
44
3
0
28 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Saurav Jha
Shiqi Yang
Masato Ishii
Mengjie Zhao
Christian Simon
Muhammad Jehanzeb Mirza
Dong Gong
Lina Yao
Shusuke Takahashi
Yuki Mitsufuji
DiffM
65
2
0
01 Oct 2024
Joint Input and Output Coordination for Class-Incremental Learning
Joint Input and Output Coordination for Class-Incremental Learning
Shuai Wang
Yibing Zhan
Yong Luo
Han Hu
Wei Yu
Yonggang Wen
Dacheng Tao
CLL
37
2
0
09 Sep 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
36
1
0
02 Sep 2024
Dynamic Object Queries for Transformer-based Incremental Object
  Detection
Dynamic Object Queries for Transformer-based Incremental Object Detection
Jichuan Zhang
Wei Li
Shuang Cheng
Yali Li
Shengjin Wang
39
0
0
31 Jul 2024
Constructing Enhanced Mutual Information for Online Class-Incremental
  Learning
Constructing Enhanced Mutual Information for Online Class-Incremental Learning
Huan Zhang
Fan Lyu
Shenghua Fan
Yujin Zheng
Dingwen Wang
CLL
43
0
0
26 Jul 2024
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment
  and Parameter Fusion
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang
Xusheng Cao
Haori Lu
Xialei Liu
CLL
40
11
0
19 Jul 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Yu-Ming Tang
Yi-Xing Peng
Jingke Meng
Wei-Shi Zheng
CLL
45
5
0
10 Jul 2024
Mind the Interference: Retaining Pre-trained Knowledge in Parameter
  Efficient Continual Learning of Vision-Language Models
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
Longxiang Tang
Zhuotao Tian
Kai Li
Chunming He
Hantao Zhou
Hengshuang Zhao
Xiu Li
Jiaya Jia
CLL
VLM
39
20
0
07 Jul 2024
CCSI: Continual Class-Specific Impression for Data-free Class
  Incremental Learning
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
Sana Ayromlou
Teresa S. M. Tsang
Purang Abolmaesumi
Xiaoxiao Li
CLL
38
2
0
09 Jun 2024
Decision Boundary-aware Knowledge Consolidation Generates Better
  Instance-Incremental Learner
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner
Qiang Nie
Weifu Fu
Yuhuan Lin
Jialin Li
Yifeng Zhou
Yong Liu
Lei Zhu
Chengjie Wang
38
0
0
05 Jun 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based
  Generative Memory
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
Naibo Wang
Yuchen Deng
Wenjie Feng
Jianwei Yin
See-Kiong Ng
DiffM
FedML
47
1
0
22 May 2024
Densely Distilling Cumulative Knowledge for Continual Learning
Densely Distilling Cumulative Knowledge for Continual Learning
Zenglin Shi
Pei Liu
Tong Su
Yunpeng Wu
Kuien Liu
Yu Song
Meng Wang
CLL
41
0
0
16 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
  Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
43
0
0
11 May 2024
Continual Novel Class Discovery via Feature Enhancement and Adaptation
Continual Novel Class Discovery via Feature Enhancement and Adaptation
Yifan Yu
Shaokun Wang
Yuhang He
Junzhe Chen
Yihong Gong
CLL
40
1
0
10 May 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELM
CLL
KELM
37
5
0
28 Apr 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Chenxing Hong
Yan Jin
Zhiqi Kang
Yizhou Chen
Mengke Li
Yang Lu
Hanzi Wang
39
3
0
23 Apr 2024
Future-Proofing Class-Incremental Learning
Future-Proofing Class-Incremental Learning
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
44
2
0
04 Apr 2024
Continual Learning for Autonomous Robots: A Prototype-based Approach
Continual Learning for Autonomous Robots: A Prototype-based Approach
Elvin Hajizada
Balachandran Swaminathan
Yulia Sandamirskaya
CLL
31
1
0
30 Mar 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
48
8
0
27 Mar 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based
  Class-Incremental Learning
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou
Hai-Long Sun
Han-Jia Ye
De-Chuan Zhan
CLL
38
51
0
18 Mar 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning
  Large Language Models with Instructions
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
Yifan Wang
Yafei Liu
Chufan Shi
Haoling Li
Chen Chen
H. Lu
Yujiu Yang
CLL
39
25
0
18 Mar 2024
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object
  Detection via Vision-Language Model
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim
Yunhoe Ku
Jihyeon Kim
Junuk Cha
Seungryul Baek
ObjD
VLM
37
12
0
08 Mar 2024
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Xiaofan Yu
Anthony Thomas
Ivannia Gomez Moreno
Louis Gutierrez
Tajana Simunic
40
3
0
07 Mar 2024
A novel spatial-frequency domain network for zero-shot incremental
  learning
A novel spatial-frequency domain network for zero-shot incremental learning
Jie Ren
Yang Zhao
Weichuan Zhang
Changming Sun
CLL
24
1
0
11 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Face to Cartoon Incremental Super-Resolution using Knowledge
  Distillation
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation
Trinetra Devkatte
S. Dubey
Satish Kumar Singh
Abdenour Hadid
CLL
CVBM
SupR
45
0
0
27 Jan 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck
  Orthogonalization and Equiangular Embedding
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
Depeng Li
Tianqi Wang
Junwei Chen
Qining Ren
Kenji Kawaguchi
Zhigang Zeng
CLL
51
6
0
17 Jan 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by
  Leveraging Domain Adaptation via Elastic Weight Consolidation
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
Saba Aslam
Abdur Rasool
Hongyan Wu
Xiaoli Li
22
5
0
17 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
55
11
0
28 Dec 2023
Multimodal Attention Merging for Improved Speech Recognition and Audio
  Event Classification
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification
Anirudh S. Sundar
Chao-Han Huck Yang
David M. Chan
Shalini Ghosh
Venkatesh Ravichandran
P. S. Nidadavolu
MoMe
42
8
0
22 Dec 2023
DualTeacher: Bridging Coexistence of Unlabelled Classes for
  Semi-supervised Incremental Object Detection
DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection
Ziqi Yuan
Liyuan Wang
Wenbo Ding
Xingxing Zhang
Jiachen Zhong
Jianyong Ai
Jianmin Li
Jun Zhu
19
0
0
13 Dec 2023
Continual learning for surface defect segmentation by subnetwork
  creation and selection
Continual learning for surface defect segmentation by subnetwork creation and selection
Aleksandr Dekhovich
Miguel A. Bessa
CLL
24
3
0
08 Dec 2023
Efficient Expansion and Gradient Based Task Inference for Replay Free
  Incremental Learning
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
Soumya Roy
Vinay Kumar Verma
Deepak Gupta
CLL
39
2
0
02 Dec 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial
  Target Data
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Shitian Zhao
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
36
3
0
02 Nov 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of
  General Knowledge Transfer between Any Pretrained Model
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
30
11
0
26 Oct 2023
Wakening Past Concepts without Past Data: Class-Incremental Learning
  from Online Placebos
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLL
OnRL
26
7
0
24 Oct 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild
Prior-Free Continual Learning with Unlabeled Data in the Wild
Tao Zhuo
Zhiyong Cheng
Hehe Fan
Mohan S. Kankanhalli
VLM
CLL
38
2
0
16 Oct 2023
Continual Learning via Manifold Expansion Replay
Continual Learning via Manifold Expansion Replay
Zihao Xu
Xuan Tang
Yufei Shi
Jianfeng Zhang
Jian Yang
Mingsong Chen
Xian Wei
KELM
CLL
11
4
0
12 Oct 2023
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