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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 / 1,600 papers shown
Title
An Analysis of Initial Training Strategies for Exemplar-Free
  Class-Incremental Learning
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
Grégoire Petit
Michael Soumm
Eva Feillet
Adrian Daniel Popescu
Bertrand Delezoide
David Picard
C´eline Hudelot
CLL
89
8
0
22 Aug 2023
Exemplar-Free Continual Transformer with Convolutions
Exemplar-Free Continual Transformer with Convolutions
Anurag Roy
Vinay Kumar Verma
Sravan Voonna
Kripabandhu Ghosh
Saptarshi Ghosh
Abir Das
CLLBDL
44
10
0
22 Aug 2023
Audio-Visual Class-Incremental Learning
Audio-Visual Class-Incremental Learning
Weiguo Pian
Shentong Mo
Yunhui Guo
Yapeng Tian
CLLVLM
87
30
0
21 Aug 2023
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive
  Person Re-Identification
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
Jianyang Gu
Haowen Luo
Kai Wang
Wei Jiang
Yang You
Jian-jun Zhao
VLM
87
4
0
21 Aug 2023
Image-free Classifier Injection for Zero-Shot Classification
Image-free Classifier Injection for Zero-Shot Classification
Anders Christensen
Massimiliano Mancini
A. Sophia Koepke
Ole Winther
Zeynep Akata
VLM
111
10
0
21 Aug 2023
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Yuyao Tang
Yifan Peng
Weiwen Zheng
CLLVLM
101
34
0
21 Aug 2023
A Comprehensive Empirical Evaluation on Online Continual Learning
A Comprehensive Empirical Evaluation on Online Continual Learning
Albin Soutif--Cormerais
Antonio Carta
Andrea Cossu
J. Hurtado
Hamed Hemati
Vincenzo Lomonaco
Joost van de Weijer
CLL
90
21
0
20 Aug 2023
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Chenghao Li
Tonghan Wang
Chongjie Zhang
Qianchuan Zhao
70
2
0
19 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in
  Vision Transformers
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
49
9
0
18 Aug 2023
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free
  Continual Learning
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
Filip Szatkowski
Mateusz Pyla
Marcin Przewiȩźlikowski
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
CLL
96
11
0
18 Aug 2023
Online Class Incremental Learning on Stochastic Blurry Task Boundary via
  Mask and Visual Prompt Tuning
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning
Jun-Yeong Moon
Keondo Park
Jung Uk Kim
Gyeong-Moon Park
CLL
68
26
0
18 Aug 2023
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector
  Quantization for Continual Learning
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
T. Malepathirana
Damith A. Senanayake
Saman K. Halgamuge
CLL
71
13
0
18 Aug 2023
A Fusion of Variational Distribution Priors and Saliency Map Replay for
  Continual 3D Reconstruction
A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
Sanchar Palit
S. Biswas
74
0
0
17 Aug 2023
Task Relation Distillation and Prototypical Pseudo Label for Incremental
  Named Entity Recognition
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition
Duzhen Zhang
Hongliu Li
Wei Cong
Rongtao Xu
Jiahua Dong
Xiuyi Chen
CLL
53
11
0
17 Aug 2023
Never-ending Learning of User Interfaces
Never-ending Learning of User Interfaces
Jason Wu
Rebecca Krosnick
E. Schoop
Amanda Swearngin
Jeffrey P. Bigham
Jeffrey Nichols
VLMHAI
41
16
0
17 Aug 2023
Advancing continual lifelong learning in neural information retrieval:
  definition, dataset, framework, and empirical evaluation
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation
Jingrui Hou
Georgina Cosma
Axel Finke
CLL
86
3
0
16 Aug 2023
CTP: Towards Vision-Language Continual Pretraining via Compatible
  Momentum Contrast and Topology Preservation
CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
Hongguang Zhu
Yunchao Wei
Xiaodan Liang
Chunjie Zhang
Yao-Min Zhao
VLM
72
30
0
14 Aug 2023
Ada-QPacknet -- adaptive pruning with bit width reduction as an
  efficient continual learning method without forgetting
Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
CLL
73
2
0
14 Aug 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor
CBA: Improving Online Continual Learning via Continual Bias Adaptor
Quanziang Wang
Renzhen Wang
Yichen Wu
Xixi Jia
Deyu Meng
CLL
76
17
0
14 Aug 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for
  Generalized Class Incremental Learning
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
97
0
0
13 Aug 2023
Continual Face Forgery Detection via Historical Distribution Preserving
Continual Face Forgery Detection via Historical Distribution Preserving
Ke Sun
Shen Chen
Taiping Yao
Xiaoshuai Sun
Shouhong Ding
Rongrong Ji
CVBMAAML
93
4
0
11 Aug 2023
Complex Facial Expression Recognition Using Deep Knowledge Distillation
  of Basic Features
Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features
Angus Maiden
Bahareh Nakisa
CVBM
45
2
0
11 Aug 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
112
14
0
11 Aug 2023
Enhancing Efficient Continual Learning with Dynamic Structure
  Development of Spiking Neural Networks
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
Bing Han
Feifei Zhao
Yi Zeng
Wenxuan Pan
Guobin Shen
CLL
73
13
0
09 Aug 2023
Improving Performance in Continual Learning Tasks using Bio-Inspired
  Architectures
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Sandeep Madireddy
A. Yanguas-Gil
Prasanna Balaprakash
CLL
46
2
0
08 Aug 2023
Continual Pre-Training of Large Language Models: How to (re)warm your
  model?
Continual Pre-Training of Large Language Models: How to (re)warm your model?
Kshitij Gupta
Benjamin Thérien
Adam Ibrahim
Mats L. Richter
Quentin G. Anthony
Eugene Belilovsky
Irina Rish
Timothée Lesort
KELM
131
107
0
08 Aug 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
105
21
0
07 Aug 2023
Environment-Invariant Curriculum Relation Learning for Fine-Grained
  Scene Graph Generation
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
Yu Min
Aming Wu
Cheng Deng
91
7
0
07 Aug 2023
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong
  Learning
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning
Xingyu Li
Bo Tang
Haifeng Li
CLL
55
25
0
07 Aug 2023
Class Incremental Learning with Self-Supervised Pre-Training and
  Prototype Learning
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSLCLL
112
13
0
04 Aug 2023
Improving Replay Sample Selection and Storage for Less Forgetting in
  Continual Learning
Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning
Daniel Brignac
N. Lobo
Abhijit Mahalanobis
KELM
73
12
0
03 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Hefei Ling
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip Torr
Dacheng Tao
Guohao Li
CLL
96
11
0
03 Aug 2023
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class
  Incremental Learning
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning
Yuhang Zhou
Jiangchao Yao
Feng Hong
Ya Zhang
Yanfeng Wang
80
6
0
03 Aug 2023
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge
  using Vision-Language Pre-Training Model
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model
Ka Leong Cheng
Wenpo Song
Zheng Ma
Wenhao Zhu
Zi-Yue Zhu
Jianbing Zhang
CLIPVLM
65
11
0
02 Aug 2023
Continual Domain Adaptation on Aerial Images under Gradually Degrading
  Weather
Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather
C. S. Jahan
Andreas E. Savakis
43
1
0
02 Aug 2023
Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from
  Stable Diffusion
Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion
Zixuan Ni
Longhui Wei
Jiacheng Li
Siliang Tang
Yueting Zhuang
Qi Tian
DiffM
98
22
0
02 Aug 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLLOnRL
77
45
0
01 Aug 2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in
  Robotics
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
Ali Ayub
Alan R. Wagner
CLL
90
4
0
31 Jul 2023
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
Kaushik Roy
Peyman Moghadam
Mehrtash Harandi
91
7
0
31 Jul 2023
Subspace Distillation for Continual Learning
Subspace Distillation for Continual Learning
Kaushik Roy
Christian Simon
Peyman Moghadam
Mehrtash Harandi
CLL
27
11
0
31 Jul 2023
Graph Condensation for Inductive Node Representation Learning
Graph Condensation for Inductive Node Representation Learning
Xin Gao
Tong Chen
Yilong Zang
Wentao Zhang
Quoc Viet Hung Nguyen
Kai Zheng
Hongzhi Yin
DDAI4CE
105
38
0
29 Jul 2023
Continual Learning in Predictive Autoscaling
Continual Learning in Predictive Autoscaling
Hongyan Hao
Zhixuan Chu
Shiyi Zhu
Gangwei Jiang
Yan Wang
Caigao Jiang
James Y. Zhang
Wei Jiang
Siqiao Xue
Junqing Zhou
73
4
0
29 Jul 2023
Online Continual Learning in Keyword Spotting for Low-Resource Devices
  via Pooling High-Order Temporal Statistics
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics
Umberto Michieli
Pablo Peso Parada
Mete Ozay
CLL
57
9
0
24 Jul 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
Yunhao Ge
Yuecheng Li
Shuo Ni
Jiaping Zhao
Ming-Hsuan Yang
Laurent Itti
CLL
95
12
0
21 Jul 2023
Active Class Selection for Few-Shot Class-Incremental Learning
Active Class Selection for Few-Shot Class-Incremental Learning
Christopher McClurg
Ali Ayub
Harsh Tyagi
Sarah M. Rajtmajer
Alan R. Wagner
CLL
65
1
0
05 Jul 2023
Exploring Continual Learning for Code Generation Models
Exploring Continual Learning for Code Generation Models
Prateek Yadav
Q. Sun
Hantian Ding
Xiaopeng Li
Dejiao Zhang
...
Parminder Bhatia
Ramesh Nallapati
M. K. Ramanathan
Joey Tianyi Zhou
Bing Xiang
CLL
92
32
0
05 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D Mcdonnell
Dong Gong
Amin Parvaneh
Ehsan Abbasnejad
Anton Van Den Hengel
VLMCLL
120
112
0
05 Jul 2023
S3C: Self-Supervised Stochastic Classifiers for Few-Shot
  Class-Incremental Learning
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning
Jaya Kalla
Soma Biswas
CLL
62
39
0
05 Jul 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
Fengqing Zhu
Fengqing M Zhu
179
14
0
01 Jul 2023
How Do Human Users Teach a Continual Learning Robot in Repeated
  Interactions?
How Do Human Users Teach a Continual Learning Robot in Repeated Interactions?
Ali Ayub
Jainish Mehta
Zachary De Francesco
Patrick Holthaus
Kerstin Dautenhahn
Chrystopher L. Nehaniv
CLLHAI
64
3
0
30 Jun 2023
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