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iCaRL: Incremental Classifier and Representation Learning
v1v2 (latest)

iCaRL: Incremental Classifier and Representation Learning

23 November 2016
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
    CLLOOD
ArXiv (abs)PDFHTML

Papers citing "iCaRL: Incremental Classifier and Representation Learning"

50 / 1,593 papers shown
Title
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
Hao Fu
Hanbin Zhao
Jiahua Dong
Chao Zhang
Hui Qian
CLLVLM
139
2
0
26 Mar 2025
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLLBDL
130
0
0
25 Mar 2025
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Xusheng Cao
Haori Lu
Linlan Huang
Fei Yang
Xialei Liu
Ming-Ming Cheng
CLLKELM
101
0
0
24 Mar 2025
Do Your Best and Get Enough Rest for Continual Learning
Do Your Best and Get Enough Rest for Continual Learning
Hankyul Kang
Gregor Seifer
Donghyun Lee
Jongbin Ryu
VLM
94
0
0
24 Mar 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
89
0
0
24 Mar 2025
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
Qiang Wang
Yuhang He
Songlin Dong
Xiang Song
Jizhou Han
Haoyu Luo
Yihong Gong
CLL
129
0
0
23 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
503
0
0
23 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
79
0
0
22 Mar 2025
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
Haori Lu
Xusheng Cao
Linlan Huang
Enguang Wang
Fei Yang
Xialei Liu
CLL
87
0
0
21 Mar 2025
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang
Dongbao Yang
Chang-Shu Liu
Xiaopeng Hong
Miao Shang
Yu Zhou
CLL
105
0
0
19 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
115
0
0
18 Mar 2025
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
Justus Westerhoff
Golzar Atefi
Mario Koddenbrock
Alexei Figueroa
Alexander Loser
Erik Rodner
Felix Alexader Gers
OffRL
112
0
0
18 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
Patrick Rim
Hyoungseob Park
Xien Chen
Ziyao Zeng
Younjoon Chung
Alex Wong
CLLMDE
132
1
0
17 Mar 2025
Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model
Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model
Kai Tong
Kang Pan
Xiao Zhang
Erli Meng
Run He
Yawen Cui
Nuoyan Guo
Huiping Zhuang
KELMCLL
116
2
0
17 Mar 2025
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
Amin Banayeeanzade
Mohammad Rostami
CLL
95
0
0
16 Mar 2025
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
Yuhao Zhou
Yuxin Tian
Jindi Lv
Mingjia Shi
Yuanxi Li
Qing Ye
Shuhao Zhang
Jiancheng Lv
CLL
112
0
0
15 Mar 2025
S2IL: Structurally Stable Incremental Learning
S2IL: Structurally Stable Incremental Learning
S. Balasubramanian
Yedu Krishna P
Talasu Sai Sriram
M Sai Subramaniam
Manepalli Pranav Phanindra Sai
Darshan Gera
CLL
114
0
0
15 Mar 2025
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation
Zirun Guo
Tao Jin
DiffM
78
2
0
13 Mar 2025
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
Simone Magistri
Tomaso Trinci
Albin Soutif--Cormerais
Joost van de Weijer
Andrew D. Bagdanov
129
0
0
13 Mar 2025
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings
Yanis Basso-Bert
Anca Molnos
Romain Lemaire
William Guicquero
Antoine Dupret
BDL
113
0
0
13 Mar 2025
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Haoyuan Gao
Zicong Zhang
Yuqi Wei
Linglan Zhao
Guilin Li
Yuezun Li
Linghe Kong
Weiran Huang
CLLVLM
381
0
0
12 Mar 2025
Finding the Muses: Identifying Coresets through Loss Trajectories
M. Nagaraj
Deepak Ravikumar
Efstathia Soufleri
Kaushik Roy
86
0
0
12 Mar 2025
Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery
Chuyu Zhang
Xueyang Yu
Peiyan Gu
Xuming He
CLL
144
0
0
12 Mar 2025
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
Chiara Cappellino
Gianluca Mancusi
Matteo Mosconi
Angelo Porrello
Simone Calderara
Rita Cucchiara
ObjDVLM
176
0
0
12 Mar 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
Haoran Chen
Ping Wang
Zihan Zhou
Xinming Zhang
Zuxuan Wu
Yu Jiang
CLL
107
0
0
11 Mar 2025
Continual Learning for Multiple Modalities
Hyundong Jin
Eunwoo Kim
CLL
113
0
0
11 Mar 2025
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
Menghao Waiyan William Zhu
Pengcheng Hao
E. Kuruoglu
BDL
80
0
0
10 Mar 2025
iManip: Skill-Incremental Learning for Robotic Manipulation
Zexin Zheng
Jia-Feng Cai
Xiao-Ming Wu
Yi-Lin Wei
Yu-Ming Tang
Wei-Shi Zheng
CLL
105
1
0
10 Mar 2025
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Sheng Luo
Yi Zhou
Tao Zhou
CLL
167
0
0
10 Mar 2025
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
Yanis Basso-Bert
Anca Molnos
Romain Lemaire
William Guicquero
Antoine Dupret
CLL
130
0
0
10 Mar 2025
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning
Yuanlong Wu
Mingxing Nie
Tao Zhu
L. Chen
Huansheng Ning
Yaping Wan
CLL
84
0
0
10 Mar 2025
WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition
Rong Li
Tao Deng
Siwei Feng
He Huang
Juncheng Jia
Di Yuan
Keqin Li
80
0
0
09 Mar 2025
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
Md Yousuf Harun
Christopher Kanan
AI4CE
93
0
0
09 Mar 2025
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma
Ruiyu Wang
Sen Wang
Wei Ji
Q. Sun
CLLKELM
100
0
0
08 Mar 2025
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification
Weixi Zheng
Aoling Huang. Jingping Yuan
Jingping Yuan
Haoyu Zhao
Zhou Zhao
Yongchao Xu
Thierry Géraud
CLL
119
0
0
08 Mar 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
Siyi Du
Xinzhe Luo
D. O’Regan
Chen Qin
121
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
136
0
0
06 Mar 2025
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Wenke Huang
Jian Liang
Xianda Guo
Yiyang Fang
Guancheng Wan
...
Bin Yang
He Li
Jiawei Shao
Mang Ye
Di Lin
OffRLLRMMLLMKELMVLM
161
4
0
06 Mar 2025
GuardDoor: Safeguarding Against Malicious Diffusion Editing via Protective Backdoors
Yaopei Zeng
Yuanpu Cao
Lu Lin
DiffMWIGM
108
0
0
05 Mar 2025
PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence
PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence
Yunxiao Shi
Wujiang Xu
Zeqi Zhang
Xing Zi
Qiang Wu
Min Xu
138
1
0
04 Mar 2025
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu
Shimin Di
Haoyang Li
Xun Jian
Yijiao Wang
Lei Chen
CLL
99
0
0
03 Mar 2025
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Songlin Dong
Yuhang He
Zhengdong Zhou
Haoyu Luo
Xing Wei
Alex C. Kot
Yihong Gong
CLL
113
2
0
01 Mar 2025
Efficient Prompting for Continual Adaptation to Missing Modalities
Zirun Guo
Shulei Wang
Wang Lin
Weicai Yan
Yangyang Wu
Tao Jin
CLLVLM
109
3
0
01 Mar 2025
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Yongbin Li
Xiangkun Wang
Xin Yang
Marcello Bonsangue
Jing Zhang
Tianrui Li
CLLVLM
112
0
0
28 Feb 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
138
0
0
28 Feb 2025
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Susmit Agrawal
Deepika Vemuri
S. Paul
Vineeth N. Balasubramanian
CLL
141
0
0
27 Feb 2025
Incremental Learning with Repetition via Pseudo-Feature Projection
Incremental Learning with Repetition via Pseudo-Feature Projection
Benedikt Tscheschner
Eduardo Veas
Marc Masana
CLL
76
0
0
27 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
134
1
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25 Feb 2025
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
Zelin Tao
Hao Deng
Mingqing Liu
Lijun Zhang
Shengjie Zhao
CLL
147
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25 Feb 2025
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
Vishal Thengane
Jean Lahoud
Hisham Cholakkal
Rao Muhammad Anwer
L. Yin
Xiatian Zhu
Salman Khan
CLL
477
0
0
24 Feb 2025
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