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. 1611.07725
  4. Cited By
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 / 1,600 papers shown
Title
Progressive Conservative Adaptation for Evolving Target Domains
Progressive Conservative Adaptation for Evolving Target Domains
Gangming Zhao
Chaoqi Chen
Wenhao He
Changzai Pan
Chaowei Fang
Jinpeng Li
Xilin Chen
Yizhou Yu
CLL
77
0
0
07 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free
  Class-Incremental Learning
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang
Chun-Fu Chen
Hsiang Hsu
VLM
68
11
0
06 Feb 2024
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental
  Learning
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
Simone Magistri
Tomaso Trinci
Albin Soutif--Cormerais
Joost van de Weijer
Andrew D. Bagdanov
108
24
0
06 Feb 2024
Delving into Multi-modal Multi-task Foundation Models for Road Scene
  Understanding: From Learning Paradigm Perspectives
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
Sheng Luo
Wei Chen
Wanxin Tian
Rui Liu
Luanxuan Hou
...
Ling Shao
Yi Yang
Bojun Gao
Qun Li
Guobin Wu
131
17
0
05 Feb 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting
  Mitigation Problem
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
Maciej Wolczyk
Bartłomiej Cupiał
M. Ostaszewski
Michal Bortkiewicz
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
148
18
0
05 Feb 2024
CORE: Mitigating Catastrophic Forgetting in Continual Learning through
  Cognitive Replay
CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
Jianshu Zhang
Yankai Fu
Ziheng Peng
Dongyu Yao
Kun He
CLL
94
1
0
02 Feb 2024
Few-Shot Class-Incremental Learning with Prior Knowledge
Few-Shot Class-Incremental Learning with Prior Knowledge
Wenhao Jiang
Duo Li
Menghan Hu
Guangtao Zhai
Xiaokang Yang
Xiao-Ping Zhang
CLL
69
1
0
02 Feb 2024
Bias Mitigating Few-Shot Class-Incremental Learning
Bias Mitigating Few-Shot Class-Incremental Learning
Li-Jun Zhao
Zhen-Duo Chen
Ziya Zhang
Xin Luo
Xin-Shun Xu
CLL
101
1
0
01 Feb 2024
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based
  Action Recognition
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
Wei Wei
Tom De Schepper
Kevin Mets
105
2
0
31 Jan 2024
Continuous Unsupervised Domain Adaptation Using Stabilized
  Representations and Experience Replay
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay
Mohammad Rostami
CLL
117
2
0
31 Jan 2024
Looking for a better fit? An Incremental Learning Multimodal Object
  Referencing Framework adapting to Individual Drivers
Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers
Amr Gomaa
Guillermo Reyes
Michael Feld
Antonio Krüger
39
0
0
29 Jan 2024
Face to Cartoon Incremental Super-Resolution using Knowledge
  Distillation
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation
Trinetra Devkatte
S. Dubey
Satish Kumar Singh
Abdenour Hadid
CLLCVBMSupR
81
0
0
27 Jan 2024
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context
  Prompt Learning
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning
Tao He
Tongtong Wu
Dongyang Zhang
Guiduo Duan
Ke Qin
Yuan-Fang Li
CLL
101
1
0
26 Jan 2024
Topology-aware Embedding Memory for Continual Learning on Expanding
  Networks
Topology-aware Embedding Memory for Continual Learning on Expanding Networks
Xikun Zhang
Dongjin Song
Yixin Chen
Dacheng Tao
86
5
0
24 Jan 2024
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free
  Class-incremental Learning
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning
Zhiyuan Wang
Xiaoyang Qu
Jing Xiao
Bokui Chen
Jianzong Wang
CLL
105
2
0
22 Jan 2024
P2DT: Mitigating Forgetting in task-incremental Learning with
  progressive prompt Decision Transformer
P2DT: Mitigating Forgetting in task-incremental Learning with progressive prompt Decision Transformer
Zhiyuan Wang
Xiaoyang Qu
Jing Xiao
Bokui Chen
Jianzong Wang
CLLOffRL
38
1
0
22 Jan 2024
Hierarchical Prompts for Rehearsal-free Continual Learning
Hierarchical Prompts for Rehearsal-free Continual Learning
Yukun Zuo
Hantao Yao
Lu Yu
Liansheng Zhuang
Changsheng Xu
CLLVLM
67
1
0
21 Jan 2024
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
47
3
0
20 Jan 2024
One Step Learning, One Step Review
One Step Learning, One Step Review
Xiaolong Huang
Qiankun Li
Xueran Li
Xuesong Gao
76
1
0
19 Jan 2024
On mitigating stability-plasticity dilemma in CLIP-guided image morphing
  via geodesic distillation loss
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss
Yeongtak Oh
Saehyung Lee
Uiwon Hwang
Sungroh Yoon
49
0
0
19 Jan 2024
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
86
32
0
18 Jan 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by
  Leveraging Domain Adaptation via Elastic Weight Consolidation
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
Saba Aslam
Abdur Rasool
Hongyan Wu
Xiaoli Li
58
5
0
17 Jan 2024
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain
  Knowledge Retention
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
Xin Yang
Wending Yan
Yuan. Yuan
Michael Bi Mi
Robby T. Tan
CLL
91
5
0
15 Jan 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
Mingli Zhu
Zihao Zhu
Sihong Chen
Chen Chen
Baoyuan Wu
CLL
81
3
0
14 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
110
5
0
12 Jan 2024
Hierarchical Augmentation and Distillation for Class Incremental
  Audio-Visual Video Recognition
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
Yukun Zuo
Hantao Yao
Liansheng Zhuang
Changsheng Xu
71
3
0
11 Jan 2024
EsaCL: Efficient Continual Learning of Sparse Models
EsaCL: Efficient Continual Learning of Sparse Models
Weijieying Ren
V. Honavar
CLL
50
3
0
11 Jan 2024
Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Damjan Kalajdzievski
CLL
91
12
0
11 Jan 2024
Class-Incremental Learning for Multi-Label Audio Classification
Class-Incremental Learning for Multi-Label Audio Classification
Manjunath Mulimani
A. Mesaros
CLL
73
12
0
09 Jan 2024
Balancing Continual Learning and Fine-tuning for Human Activity
  Recognition
Balancing Continual Learning and Fine-tuning for Human Activity Recognition
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Akhil Mathur
Cecilia Mascolo
SSLHAI
64
1
0
04 Jan 2024
eCIL-MU: Embedding based Class Incremental Learning and Machine
  Unlearning
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning
Zhiwei Zuo
Zhuo Tang
Bin Wang
KenLi Li
Anwitaman Datta
CLLMU
56
3
0
04 Jan 2024
PILoRA: Prototype Guided Incremental LoRA for Federated
  Class-Incremental Learning
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
Haiyang Guo
Fei Zhu
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
CLL
100
9
0
04 Jan 2024
Learning Prompt with Distribution-Based Feature Replay for Few-Shot
  Class-Incremental Learning
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
Zitong Huang
Ze Chen
Zhixing Chen
Erjin Zhou
Xinxing Xu
Rick Siow Mong Goh
Yong-Jin Liu
Wangmeng Zuo
Chun-Mei Feng
CLLVLMBDL
112
11
0
03 Jan 2024
Elastic Multi-Gradient Descent for Parallel Continual Learning
Elastic Multi-Gradient Descent for Parallel Continual Learning
Fan Lyu
Wei Feng
Yuepan Li
Qing Sun
Fanhua Shang
Liang Wan
Liang Wang
59
2
0
02 Jan 2024
Federated Class-Incremental Learning with New-Class Augmented
  Self-Distillation
Federated Class-Incremental Learning with New-Class Augmented Self-Distillation
Zhiyuan Wu
Tianliu He
Sheng Sun
Yuwei Wang
Min Liu
Bo Gao
Xue Jiang
CLLFedML
68
4
0
01 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
116
11
0
28 Dec 2023
Infinite dSprites for Disentangled Continual Learning: Separating Memory
  Edits from Generalization
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Sebastian Dziadzio
cCaugatay Yildiz
Gido M. van de Ven
Tomasz Trzciñski
Tinne Tuytelaars
Matthias Bethge
73
1
0
27 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
81
44
0
27 Dec 2023
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Yan Fan
Yu Wang
Pengfei Zhu
Qinghua Hu
CLL
206
5
0
27 Dec 2023
Adapt & Align: Continual Learning with Generative Models Latent Space
  Alignment
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment
Kamil Deja
Bartosz Cywiński
Jan Rybarczyk
Tomasz Trzciñski
CLLDRL
48
0
0
21 Dec 2023
Federated Continual Novel Class Learning
Federated Continual Novel Class Learning
Lixu Wang
Chenxi Liu
Junfeng Guo
Jiahua Dong
Tianlin Li
Heng-Chiao Huang
Qi Zhu
CLLFedML
118
2
0
21 Dec 2023
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
75
3
0
20 Dec 2023
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class
  Incremental Learning
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning
Jiang-Tian Zhai
Xialei Liu
Lu Yu
Ming-Ming Cheng
CLL
115
10
0
20 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
135
2
0
19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
114
27
0
16 Dec 2023
Continual Adversarial Defense
Continual Adversarial Defense
Qian Wang
Yaoyao Liu
Hefei Ling
Yingwei Li
Qihao Liu
Ping Li
AAML
162
4
0
15 Dec 2023
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Xi Chen
Chang Gao
Zuowen Wang
Longbiao Cheng
Sheng Zhou
Shih-Chii Liu
T. Delbruck
62
2
0
14 Dec 2023
RTRA: Rapid Training of Regularization-based Approaches in Continual
  Learning
RTRA: Rapid Training of Regularization-based Approaches in Continual Learning
Sahil Nokhwal
Nirman Kumar
CLL
36
6
0
14 Dec 2023
DSS: A Diverse Sample Selection Method to Preserve Knowledge in
  Class-Incremental Learning
DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning
Sahil Nokhwal
Nirman Kumar
CLL
42
3
0
14 Dec 2023
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning
Sahil Nokhwal
Nirman Kumar
CLL
61
3
0
14 Dec 2023
Previous
123...111213...303132
Next