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2211.13218
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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
Yikang Shen
Rogerio Feris
Z. Kira
CLL
VPVLM
VLM
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Papers citing
"CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
50 / 58 papers shown
Title
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Songlin Dong
Chenhao Ding
Jiangyang Li
Jizhou Han
Qiang Wang
Yuhang He
Yihong Gong
CLL
VLM
40
0
0
12 May 2025
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
Kunlun Xu
Xu Zou
Gang Hua
Jiahuan Zhou
CLL
83
0
0
07 May 2025
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
Prachi Garg
Joseph K J
V. Balasubramanian
Necati Cihan Camgöz
Chengde Wan
Kenrick Kin
Weiguang Si
Shugao Ma
Fernando de la Torre
69
0
0
25 Apr 2025
Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identification
Shiben Liu
Huijie Fan
Qiang Wang
Baojie Fan
Yandong Tang
Liangqiong Qu
OOD
CLL
57
0
0
21 Apr 2025
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
J. Guo
Xiaoguang Zhu
Liangyu Teng
Hao Yang
Jiaheng Liu
Yi Liu
Liang Song
CLL
VLM
72
1
0
25 Mar 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
J. Guo
Xiaoguang Zhu
Xiaoguang Zhu
Lianlong Sun
Liangyu Teng
Yang 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
Xuan Liu
Xiaobin Chang
CLL
200
0
0
23 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
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Guannan Lai
Yujie Li
Xiangkun Wang
Jun Zhang
Tianrui Li
Xin Yang
CLL
49
0
0
27 Feb 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
84
1
0
17 Feb 2025
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
46
0
0
12 Feb 2025
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models
Chiyuan He
Zihuan Qiu
Fanman Meng
Linfeng Xu
Qi Wu
Yiming Li
VLM
CLL
KELM
65
0
0
02 Feb 2025
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Dunwei Tu
Huiyu Yi
Yanjie Wang
Baile Xu
Jian Zhao
Furao Shen
CLL
109
0
0
28 Jan 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
George Karantaidis
Athanasios Pantsios
Y. Kompatsiaris
Symeon Papadopoulos
CLL
62
0
0
20 Jan 2025
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
78
0
0
31 Dec 2024
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
102
0
0
15 Dec 2024
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
88
3
0
01 Dec 2024
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
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
40
0
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
32
1
0
04 Nov 2024
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Yanyi Zhang
Binglin Qiu
Qi Jia
Yu Liu
Ran He
CLL
42
0
0
04 Nov 2024
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
Daehee Lee
Minjong Yoo
Woo Kyung Kim
Wonje Choi
Honguk Woo
CLL
96
3
0
30 Oct 2024
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
39
2
0
23 Oct 2024
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
Hong Li
Zhiquan Tan
Xingyu Li
Weiran Huang
CLL
MoMe
43
1
0
14 Oct 2024
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
Xiang Li
Pin-Yu Chen
Wenqi Wei
41
3
0
06 Oct 2024
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
76
2
0
01 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
46
1
0
01 Oct 2024
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
85
1
0
23 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Zhi-Hong Qi
Da-Wei Zhou
Yiran Yao
Han-Jia Ye
De-Chuan Zhan
CLL
48
5
0
11 Sep 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu
Hesong Li
Ying Fu
Joost van de Weijer
Changsheng Xu
CLL
55
1
0
02 Aug 2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Jingren Liu
Zhong Ji
YunLong Yu
Jiale Cao
Yanwei Pang
Jungong Han
Xuelong Li
CLL
42
3
0
24 Jul 2024
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
37
3
0
22 Jul 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
CLL
VLM
56
0
0
18 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
47
5
0
07 Jul 2024
Personalized Federated Continual Learning via Multi-granularity Prompt
Hao Yu
Xin Yang
Xin Gao
Yan Kang
Hao Wang
Junbo Zhang
Tianrui Li
CLL
57
6
0
27 Jun 2024
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
48
1
0
20 May 2024
Adaptive Memory Replay for Continual Learning
James Seale Smith
Lazar Valkov
Shaunak Halbe
V. Gutta
Rogerio Feris
Z. Kira
Leonid Karlinsky
44
6
0
18 Apr 2024
Future-Proofing Class-Incremental Learning
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
44
2
0
04 Apr 2024
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
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
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
39
10
0
13 Mar 2024
Continual Segmentation with Disentangled Objectness Learning and Class Recognition
Yizheng Gong
Siyue Yu
Xiaoyang Wang
Jimin Xiao
CLL
30
5
0
06 Mar 2024
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
35
7
0
13 Dec 2023
Towards a General Framework for Continual Learning with Pre-training
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
34
3
0
21 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
29
3
0
17 Oct 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
110
27
0
13 Sep 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
Thomas De Min
Massimiliano Mancini
Alahari Karteek
Xavier Alameda-Pineda
Elisa Ricci
CLL
29
9
0
18 Aug 2023
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