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. 2503.10705
  4. Cited By
Enhanced Continual Learning of Vision-Language Models with Model Fusion
v1v2 (latest)

Enhanced Continual Learning of Vision-Language Models with Model Fusion

12 March 2025
Haoyuan Gao
Zicong Zhang
Yuqi Wei
Linglan Zhao
Guilin Li
Yuezun Li
Linghe Kong
Weiran Huang
    CLLVLM
ArXiv (abs)PDFHTML

Papers citing "Enhanced Continual Learning of Vision-Language Models with Model Fusion"

43 / 43 papers shown
Title
Multi-Stage Knowledge Integration of Vision-Language Models for
  Continual Learning
Multi-Stage Knowledge Integration of Vision-Language Models for Continual Learning
Hongsheng Zhang
Zhong Ji
Jingren Liu
Yanwei Pang
Jungong Han
VLM
27
1
0
11 Nov 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning
  with Pre-Trained Models
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
Linglan Zhao
Xuerui Zhang
K. Yan
Shouhong Ding
Weiran Huang
CLL
81
5
0
04 Nov 2024
Boosting Open-Domain Continual Learning via Leveraging Intra-domain
  Category-aware Prototype
Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype
Yadong Lu
Shitian Zhao
Boxiang Yun
Dongsheng Jiang
Yin Li
Qingli Li
Yan Wang
VLMCLL
39
1
0
19 Aug 2024
Advancing Cross-domain Discriminability in Continual Learning of
  Vison-Language Models
Advancing Cross-domain Discriminability in Continual Learning of Vison-Language Models
Yicheng Xu
Yuxin Chen
Jiahao Nie
Yusong Wang
Huiping Zhuang
Manabu Okumura
VLMCLL
64
10
0
27 Jun 2024
EMR-Merging: Tuning-Free High-Performance Model Merging
EMR-Merging: Tuning-Free High-Performance Model Merging
Chenyu Huang
Peng Ye
Tao Chen
Tong He
Xiangyu Yue
Wanli Ouyang
MoMe
78
45
0
23 May 2024
Learning More Generalized Experts by Merging Experts in
  Mixture-of-Experts
Learning More Generalized Experts by Merging Experts in Mixture-of-Experts
Sejik Park
FedMLCLLMoMe
68
5
0
19 May 2024
Continual Learning of Large Language Models: A Comprehensive Survey
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi
Zihao Xu
Hengyi Wang
Weiyi Qin
Wenyuan Wang
Yibin Wang
Zifeng Wang
Sayna Ebrahimi
Hao Wang
CLLKELMLRM
124
84
0
25 Apr 2024
Boosting Continual Learning of Vision-Language Models via
  Mixture-of-Experts Adapters
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Jiazuo Yu
Yunzhi Zhuge
Lu Zhang
Ping Hu
Dong Wang
Huchuan Lu
You He
VLMKELMCLLOODD
173
87
0
18 Mar 2024
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and
  Vocabulary Learning
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning
Yukun Li
Guansong Pang
Wei Suo
Chenchen Jing
Yuling Xi
Lingqiao Liu
Hao Chen
Guoqiang Liang
Peng Wang
CLLVLM
79
8
0
15 Mar 2024
Select and Distill: Selective Dual-Teacher Knowledge Transfer for
  Continual Learning on Vision-Language Models
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
Yu-Chu Yu
Chi-Pin Huang
Jr-Jen Chen
Kai-Po Chang
Yung-Hsuan Lai
Fu-En Yang
Yu-Chiang Frank Wang
CLLVLM
87
9
0
14 Mar 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class
  Incremental Object Detection
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim
Hoseong Cho
Jihyeon Kim
Yihalem Yimolal Tiruneh
Seungryul Baek
DiffM
106
21
0
27 Feb 2024
CLIP in Medical Imaging: A Comprehensive Survey
CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao
Yuxiao Liu
Han Wu
Yonghao Li
Sheng Wang
L. Teng
Disheng Liu
Zhiming Cui
Qian Wang
Dinggang Shen
CLIPMedImLM&MAVLM
96
43
0
12 Dec 2023
Continual Learning: Applications and the Road Forward
Continual Learning: Applications and the Road Forward
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
...
Joost van de Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
CLL
100
47
0
20 Nov 2023
Language Models are Super Mario: Absorbing Abilities from Homologous
  Models as a Free Lunch
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Le Yu
Yu Bowen
Haiyang Yu
Fei Huang
Yongbin Li
MoMe
107
333
0
06 Nov 2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning
AdaMerging: Adaptive Model Merging for Multi-Task Learning
Enneng Yang
Zhenyi Wang
Li Shen
Shiwei Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
MoMe
82
124
0
04 Oct 2023
TIES-Merging: Resolving Interference When Merging Models
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav
Derek Tam
Leshem Choshen
Colin Raffel
Joey Tianyi Zhou
MoMe
120
315
0
02 Jun 2023
Improving CLIP Training with Language Rewrites
Improving CLIP Training with Language Rewrites
Lijie Fan
Dilip Krishnan
Phillip Isola
Dina Katabi
Yonglong Tian
BDLVLMCLIP
80
173
0
31 May 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of
  Vision-Language Models
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng
Mingyu Ma
Kai Wang
Ziheng Qin
Xiangyu Yue
Yang You
CLLVLM
141
79
0
12 Mar 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
186
698
0
31 Jan 2023
Dataless Knowledge Fusion by Merging Weights of Language Models
Dataless Knowledge Fusion by Merging Weights of Language Models
Xisen Jin
Xiang Ren
Daniel Preoţiuc-Pietro
Pengxiang Cheng
FedMLMoMe
75
249
0
19 Dec 2022
Editing Models with Task Arithmetic
Editing Models with Task Arithmetic
Gabriel Ilharco
Marco Tulio Ribeiro
Mitchell Wortsman
Suchin Gururangan
Ludwig Schmidt
Hannaneh Hajishirzi
Ali Farhadi
KELMMoMeMU
197
518
0
08 Dec 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLLVLM
117
223
0
26 Jul 2022
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Yuxuan Ding
Lingqiao Liu
Chunna Tian
Jingyuan Yang
Haoxuan Ding
CLLVLMKELM
62
55
0
19 Jul 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLLBDL
92
141
0
03 Jan 2022
Merging Models with Fisher-Weighted Averaging
Merging Models with Fisher-Weighted Averaging
Michael Matena
Colin Raffel
FedMLMoMe
87
402
0
18 Nov 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
154
736
0
04 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLMSyDa
228
3,989
0
28 Jul 2021
How Much Can CLIP Benefit Vision-and-Language Tasks?
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen
Liunian Harold Li
Hao Tan
Joey Tianyi Zhou
Anna Rohrbach
Kai-Wei Chang
Z. Yao
Kurt Keutzer
CLIPVLMMLLM
257
410
0
13 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
490
10,496
0
17 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
972
29,810
0
26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
673
41,430
0
22 Oct 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task
  Semantics
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
V. Ramasesh
Ethan Dyer
M. Raghu
CLL
92
178
0
14 Jul 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDLCLL
85
922
0
15 Apr 2020
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
97
788
0
29 Oct 2018
Overcoming catastrophic forgetting with hard attention to the task
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà
Dídac Surís
M. Miron
Alexandros Karatzoglou
CLL
111
1,081
0
04 Jan 2018
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
107
1,308
0
15 Nov 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
154
1,830
0
31 Aug 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,561
0
02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
160
3,781
0
23 Nov 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
308
4,428
0
29 Jun 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
81
2,464
0
15 Jun 2016
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
146
2,689
0
14 Nov 2013
Fine-Grained Visual Classification of Aircraft
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
126
2,271
0
21 Jun 2013
1