ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.13218
  4. Cited By
CODA-Prompt: COntinual Decomposed Attention-based Prompting for
  Rehearsal-Free Continual Learning

CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

23 November 2022
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Rameswar Panda
Rogerio Feris
Z. Kira
    CLL
    VPVLM
    VLM
ArXivPDFHTML

Papers citing "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"

50 / 50 papers shown
Title
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
Kunlun Xu
Xu Zou
Gang Hua
Jiahuan Zhou
CLL
78
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
POET: Prompt Offset Tuning for Continual Human Action Adaptation
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg
Joseph K J
V. Balasubramanian
Necati Cihan Camgöz
Chengde Wan
Kenrick Kin
Weiguang Si
Shugao Ma
Fernando De la Torre
55
0
0
25 Apr 2025
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
J. Guo
Xiaoguang Zhu
Liangyu Teng
Hao Yang
J. Liu
Y. Liu
Liang Song
CLL
VLM
67
1
0
25 Mar 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
J. Guo
Xiaoguang Zhu
Xiaoguang Zhu
Lianlong Sun
Liangyu Teng
Y. Liu
Di Li
Wei Zhou
Liang Song
CLL
VLM
59
1
0
24 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu
Xiaobin Chang
CLL
125
0
0
23 Mar 2025
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma
Ruiyu Wang
Sen Wang
X. Zuo
Q. Sun
CLL
KELM
65
0
0
08 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Guannan Lai
Yujie Li
Xiangkun Wang
J. Zhang
Tianrui Li
Xin Yang
CLL
39
0
0
27 Feb 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
82
1
0
17 Feb 2025
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Igor Skrjanc
CLL
41
0
0
12 Feb 2025
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models
Chiyuan He
Zihuan Qiu
Fanman Meng
Linfeng Xu
Q. Wu
H. Li
VLM
CLL
KELM
58
0
0
02 Feb 2025
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Dunwei Tu
Huiyu Yi
Y. Wang
Baile Xu
Jian Zhao
F. Shen
CLL
107
0
0
28 Jan 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
George Karantaidis
Athanasios Pantsios
Y. Kompatsiaris
Symeon Papadopoulos
CLL
60
0
0
20 Jan 2025
Generate to Discriminate: Expert Routing for Continual Learning
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
74
0
0
31 Dec 2024
Adapter-Enhanced Semantic Prompting for Continual Learning
Adapter-Enhanced Semantic Prompting for Continual Learning
Baocai Yin
Ji Zhao
Huajie Jiang
Ningning Hou
Yongli Hu
Amin Beheshti
Ming-Hsuan Yang
Yuankai Qi
CLL
VLM
97
0
0
15 Dec 2024
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
VLM
KELM
CLL
75
3
0
01 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
S. M. I. Simon X. Yang
Baile Xu
Jian Zhao
F. Shen
CLL
81
0
0
26 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
31
0
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
23
1
0
04 Nov 2024
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Yanyi Zhang
Binglin Qiu
Qi Jia
Yu Liu
Ran He
CLL
40
0
0
04 Nov 2024
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Huancheng Chen
Jingtao Li
Nidham Gazagnadou
Weiming Zhuang
Chen Chen
Lingjuan Lyu
VLM
CLL
47
1
0
01 Nov 2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Daehee Lee
Minjong Yoo
Woo Kyung Kim
Wonje Choi
Honguk Woo
CLL
86
3
0
30 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedML
MoMe
CLL
31
2
0
23 Oct 2024
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage
  Learning Strategy
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
Hong Li
Zhiquan Tan
Xingyu Li
Weiran Huang
CLL
MoMe
26
1
0
14 Oct 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
Mingyi Guo
Yuyang Liu
Zongying Lin
Peixi Peng
Yonghong Tian
Yonghong Tian
VLM
30
0
0
08 Oct 2024
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Xiang Li
Pin-Yu Chen
Wenqi Wei
28
3
0
06 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
61
2
0
01 Oct 2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Jiashuo Li
Shaokun Wang
Bo Qian
Yuhang He
Xing Wei
Qiang Wang
Yihong Gong
CLL
80
1
0
23 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Zhi-Hong Qi
Da-Wei Zhou
Yiran Yao
Han-Jia Ye
De-Chuan Zhan
CLL
40
5
0
11 Sep 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for
  Continual Learning
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu
Hesong Li
Ying Fu
J. Weijer
Changsheng Xu
CLL
47
1
0
02 Aug 2024
CLIP with Generative Latent Replay: a Strong Baseline for Incremental
  Learning
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
Emanuele Frascaroli
Aniello Panariello
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLM
CLL
35
3
0
22 Jul 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
VLM
CLL
54
0
0
18 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
45
4
0
07 Jul 2024
Personalized Federated Continual Learning via Multi-granularity Prompt
Personalized Federated Continual Learning via Multi-granularity Prompt
Hao Yu
Xin Yang
Xin Gao
Yan Kang
Hao Wang
Junbo Zhang
Tianrui Li
CLL
36
6
0
27 Jun 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
37
1
0
20 May 2024
Adaptive Memory Replay for Continual Learning
Adaptive Memory Replay for Continual Learning
James Seale Smith
Lazar Valkov
Shaunak Halbe
V. Gutta
Rogerio Feris
Z. Kira
Leonid Karlinsky
31
6
0
18 Apr 2024
Future-Proofing Class-Incremental Learning
Future-Proofing Class-Incremental Learning
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
34
2
0
04 Apr 2024
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
71
2
0
14 Mar 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
31
10
0
13 Mar 2024
Continual Segmentation with Disentangled Objectness Learning and Class
  Recognition
Continual Segmentation with Disentangled Objectness Learning and Class Recognition
Yizheng Gong
Siyue Yu
Xiaoyang Wang
Jimin Xiao
CLL
25
5
0
06 Mar 2024
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
18
7
0
13 Dec 2023
Towards a General Framework for Continual Learning with Pre-training
Towards a General Framework for Continual Learning with Pre-training
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
29
3
0
21 Oct 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
100
27
0
13 Sep 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
F. Zhu
Fengqing M Zhu
59
14
0
01 Jul 2023
Cross Architecture Distillation for Face Recognition
Cross Architecture Distillation for Face Recognition
Weisong Zhao
Xiangyu Zhu
Zhixiang He
Xiaoyu Zhang
Zhen Lei
CVBM
13
6
0
26 Jun 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
69
37
0
30 May 2023
A Closer Look at Rehearsal-Free Continual Learning
A Closer Look at Rehearsal-Free Continual Learning
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
VLM
CLL
13
57
0
31 Mar 2022
Architecture Matters in Continual Learning
Architecture Matters in Continual Learning
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Timothy Nguyen
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
OOD
KELM
111
58
0
01 Feb 2022
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
152
197
0
21 Mar 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,170
0
01 Sep 2014
1