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RanPAC: Random Projections and Pre-trained Models for Continual Learning

RanPAC: Random Projections and Pre-trained Models for Continual Learning

5 July 2023
Mark D Mcdonnell
Dong Gong
Amin Parvaneh
Ehsan Abbasnejad
A. Hengel
    VLM
    CLL
ArXivPDFHTML

Papers citing "RanPAC: Random Projections and Pre-trained Models for Continual Learning"

50 / 69 papers shown
Title
Self-Controlled Dynamic Expansion Model for Continual Learning
Self-Controlled Dynamic Expansion Model for Continual Learning
RunQing Wu
KaiHui Huang
HanYi Zhang
Fei Ye
CLL
VLM
35
0
0
14 Apr 2025
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
Songze Li
Tonghua Su
Xu-Yao Zhang
Qixing Xu
Zhongjie Wang
CLL
26
0
0
09 Apr 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
H. Li
Yuecong Xu
Junjie Chen
Kemi Ding
3DPC
CLL
34
0
0
02 Apr 2025
Global Convergence of Continual Learning on Non-IID Data
Global Convergence of Continual Learning on Non-IID Data
Fei Zhu
Yujing Liu
Wenzhuo Liu
Zhaoxiang Zhang
40
0
0
24 Mar 2025
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
Huitong Chen
Yu Wang
Yan Fan
Guosong Jiang
Q. Hu
CLL
39
0
0
22 Mar 2025
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Umar Farooq
Jean-Yves Guillemaut
Adrian Hilton
M. Volino
3DGS
54
0
0
18 Mar 2025
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing
Zecheng Zhao
Zhi Chen
Zi-Rui Huang
S. Sadiq
Tong Chen
36
0
0
13 Mar 2025
Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery
Chuyu Zhang
Xueyang Yu
Peiyan Gu
Xuming He
CLL
73
0
0
12 Mar 2025
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
Md Yousuf Harun
Christopher Kanan
AI4CE
43
0
0
09 Mar 2025
Dynamically evolving segment anything model with continuous learning for medical image segmentation
Zhaori Liu
Mengyang Li
Hu Han
Enli Zhang
Shiguang Shan
Zhiming Zhao
VLM
45
0
0
08 Mar 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen
Yikai Liao
Xiaoxiao Sun
Kede Ma
Ying Wei
55
0
0
06 Mar 2025
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi Kang
Liyuan Wang
Xingxing Zhang
Karteek Alahari
CLL
VLM
36
1
0
02 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Xiang Xiang
Zhuo Xu
Yao Deng
Qinhao Zhou
Yifan Liang
Ke Chen
Qingfang Zheng
Yaowei Wang
Xilin Chen
Wen Gao
VLM
41
0
0
28 Feb 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
29
0
0
27 Feb 2025
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Yujie Li
Guannan Lai
Xin Yang
Y. Li
Marcello Bonsangue
Tianrui Li
CLL
VLM
69
0
0
27 Feb 2025
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
Wanyi Li
Wei Wei
Yongkang Luo
Peng Wang
CLL
47
0
0
26 Feb 2025
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Xin Zhang
Liang Bai
Xian Yang
Jiye Liang
CLL
58
0
0
25 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
70
1
0
17 Feb 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
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
RunQing Wu
Fei Ye
QiHe Liu
Guoxi Huang
Jinyu Guo
Rongyao Hu
CLL
86
0
0
15 Jan 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models
Continual Learning Using a Kernel-Based Method Over Foundation Models
Saleh Momeni
Sahisnu Mazumder
Bing-Quan Liu
CLL
62
1
0
20 Dec 2024
Linked Adapters: Linking Past and Future to Present for Effective
  Continual Learning
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning
Dupati Srikar Chandra
P. K. Srijith
Dana Rezazadegan
Chris McCarthy
CLL
65
0
0
14 Dec 2024
TinySubNets: An efficient and low capacity continual learning strategy
TinySubNets: An efficient and low capacity continual learning strategy
Marcin Pietroñ
Kamil Faber
Dominik Zurek
Roberto Corizzo
69
0
0
14 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
72
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
78
0
0
26 Nov 2024
Sparse Orthogonal Parameters Tuning for Continual Learning
Sparse Orthogonal Parameters Tuning for Continual Learning
Kun-Peng Ning
Hai-Jian Ke
Yu-Yang Liu
Jia-Yu Yao
Yong-Hong Tian
Li Yuan
CLL
28
1
0
05 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
31
2
0
04 Nov 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
27
0
0
08 Oct 2024
TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models
TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
36
1
0
01 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
30
2
0
01 Oct 2024
How green is continual learning, really? Analyzing the energy
  consumption in continual training of vision foundation models
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
Tomaso Trinci
Simone Magistri
Roberto Verdecchia
Andrew D. Bagdanov
CLL
21
0
0
27 Sep 2024
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental
  Learning
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
Zhongren Yao
Xiaobin Chang
13
0
0
20 Sep 2024
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
Yi Yang
Lei Zhong
Huiping Zhuang
3DPC
CLL
16
0
0
18 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
34
1
0
02 Sep 2024
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised
  Class Incremental Learning
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning
Jiaming Liu
Hongyuan Liu
Zhili Qin
Wei Han
Yulu Fan
Qinli Yang
Junming Shao
CLL
33
0
0
19 Aug 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
31
1
0
02 Aug 2024
Conditioned Prompt-Optimization for Continual Deepfake Detection
Conditioned Prompt-Optimization for Continual Deepfake Detection
Francesco Laiti
Benedetta Liberatori
Thomas De Min
Elisa Ricci
27
2
0
31 Jul 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
24
3
0
22 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
37
11
0
19 Jul 2024
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free
  Continual Learning
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
Xinyuan Gao
Songlin Dong
Yuhang He
Qiang Wang
Yihong Gong
CLL
16
12
0
14 Jul 2024
Exemplar-free Continual Representation Learning via Learnable Drift
  Compensation
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa
Dipam Goswami
Kai Wang
Andrew D. Bagdanov
Bartlomiej Twardowski
Joost van de Weijer
CLL
SSL
21
0
0
11 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
30
4
0
07 Jul 2024
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection
Yang Xiao
Rohan Kumar Das
32
3
0
04 Jul 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
VLM
CLL
33
5
0
27 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
21
5
0
13 Jun 2024
Visual Prompt Tuning in Null Space for Continual Learning
Visual Prompt Tuning in Null Space for Continual Learning
Yue Lu
Shizhou Zhang
De-Chun Cheng
Yinghui Xing
N. Wang
Peng Wang
Yanning Zhang
VLM
VPVLM
CLL
22
8
0
09 Jun 2024
Harnessing Neural Unit Dynamics for Effective and Scalable
  Class-Incremental Learning
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
Depeng Li
Tianqi Wang
Junwei Chen
Wei Dai
Zhigang Zeng
CLL
25
1
0
04 Jun 2024
Online Analytic Exemplar-Free Continual Learning with Large Models for
  Imbalanced Autonomous Driving Task
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
Huiping Zhuang
Di Fang
Kai Tong
Yuchen Liu
Ziqian Zeng
Xu Zhou
Cen Chen
CLL
14
1
0
28 May 2024
Mixture of Experts Meets Prompt-Based Continual Learning
Mixture of Experts Meets Prompt-Based Continual Learning
Minh Le
An Nguyen
Huy Nguyen
Trang Nguyen
Trang Pham
L. Ngo
Nhat Ho
CLL
35
7
0
23 May 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
29
1
0
20 May 2024
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