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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 / 1,606 papers shown
Title
Remember the Past: Distilling Datasets into Addressable Memories for
  Neural Networks
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhiwei Deng
Olga Russakovsky
FedMLDD
107
96
0
06 Jun 2022
Hashing Learning with Hyper-Class Representation
Hashing Learning with Hyper-Class Representation
Shi-bo Zhang
Jiaye Li
81
1
0
06 Jun 2022
Effects of Auxiliary Knowledge on Continual Learning
Effects of Auxiliary Knowledge on Continual Learning
Giovanni Bellitto
M. Pennisi
S. Palazzo
Lorenzo Bonicelli
Matteo Boschini
Simone Calderara
C. Spampinato
CLL
69
6
0
03 Jun 2022
Incremental Learning Meets Transfer Learning: Application to Multi-site
  Prostate MRI Segmentation
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
Chenyu You
Jinlin Xiang
Kun Su
Xiaoran Zhang
Siyuan Dong
J. Onofrey
Lawrence H. Staib
James S. Duncan
CLL
99
51
0
03 Jun 2022
Dataset Distillation using Neural Feature Regression
Dataset Distillation using Neural Feature Regression
Yongchao Zhou
E. Nezhadarya
Jimmy Ba
DDFedML
102
161
0
01 Jun 2022
Continual Object Detection: A review of definitions, strategies, and
  challenges
Continual Object Detection: A review of definitions, strategies, and challenges
Angelo G. Menezes
Gustavo de Moura
Cézanne Alves
André C. P. L. F. de Carvalho
ObjD
113
53
0
30 May 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization
Dataset Condensation via Efficient Synthetic-Data Parameterization
Jang-Hyun Kim
Jinuk Kim
Seong Joon Oh
Sangdoo Yun
Hwanjun Song
Joonhyun Jeong
Jung-Woo Ha
Hyun Oh Song
DD
520
170
0
30 May 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and
  Privacy Protection
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
Huiping Zhuang
Zhenyu Weng
Hongxin Wei
Renchunzi Xie
Kar-Ann Toh
Zhiping Lin
CLL
118
41
0
30 May 2022
Exploring the Open World Using Incremental Extreme Value Machines
Exploring the Open World Using Incremental Extreme Value Machines
Tobias Koch
Felix Liebezeit
Christian Riess
Vincent Christlein
Thomas Köhler
VLM
56
3
0
30 May 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
325
294
0
30 May 2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype
  Representation
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation
Bin Lu
Xiaoying Gan
Lina Yang
Weinan Zhang
Luoyi Fu
Xinbing Wang
CLL
82
29
0
27 May 2022
Continual evaluation for lifelong learning: Identifying the stability
  gap
Continual evaluation for lifelong learning: Identifying the stability gap
Matthias De Lange
Gido M. van de Ven
Tinne Tuytelaars
CLL
167
42
0
26 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
80
140
0
26 May 2022
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLLLRM
211
123
0
24 May 2022
Rethinking Task-Incremental Learning Baselines
Rethinking Task-Incremental Learning Baselines
Md. Rejwanul Hossain
P. Saha
T. Chowdhury
Shafin Rahman
Fuad Rahman
Nabeel Mohammed
CLL
67
5
0
23 May 2022
KRNet: Towards Efficient Knowledge Replay
KRNet: Towards Efficient Knowledge Replay
Yingying Zhang
Qiaoyong Zhong
Di Xie
Shi Pu
CLL
35
0
0
23 May 2022
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental
  Learning
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning
Fanfan Ye
Liang Ma
Qiaoyong Zhong
Di Xie
Shiliang Pu
BDLCLL
45
2
0
23 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge
  Consolidation
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan
Yangchen Pan
Jun Luo
A. R. Mahmood
OffRL
113
8
0
22 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization
  Influence
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang
Zeke Xie
Hanyu Peng
Minjing Xu
Mingming Sun
P. Li
DD
247
114
0
19 May 2022
Continual learning on 3D point clouds with random compressed rehearsal
Continual learning on 3D point clouds with random compressed rehearsal
M. Zamorski
Michal Stypulkowski
Konrad Karanowski
Tomasz Trzciñski
Maciej Ziȩba
3DPC
63
11
0
16 May 2022
Learning Representations for New Sound Classes With Continual
  Self-Supervised Learning
Learning Representations for New Sound Classes With Continual Self-Supervised Learning
Zhepei Wang
Cem Subakan
Xilin Jiang
Junkai Wu
Efthymios Tzinis
Mirco Ravanelli
Paris Smaragdis
CLLSSL
123
19
0
15 May 2022
Contrastive Supervised Distillation for Continual Representation
  Learning
Contrastive Supervised Distillation for Continual Representation Learning
Tommaso Barletti
Niccoló Biondi
F. Pernici
Matteo Bruni
A. Bimbo
CLL
73
7
0
11 May 2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and
  Essentials
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
Chuqiao Li
Zhiwu Huang
D. Paudel
Yabin Wang
Mohamad Shahbazi
Xiaopeng Hong
Luc Van Gool
116
50
0
11 May 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation
  Learning Benchmark for Lifelong Crowd Counting
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Jiaqi Gao
Jingqi Li
Hongming Shan
Yanyun Qu
Jianmin Wang
Fei-Yue Wang
Junping Zhang
97
21
0
06 May 2022
Generating Representative Samples for Few-Shot Classification
Generating Representative Samples for Few-Shot Classification
Aoxiang Fan
Hieu M. Le
VLM
109
65
0
05 May 2022
Generalized Knowledge Distillation via Relationship Matching
Generalized Knowledge Distillation via Relationship Matching
Han-Jia Ye
Su Lu
De-Chuan Zhan
FedML
75
21
0
04 May 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation
DIRA: Dynamic Domain Incremental Regularised Adaptation
Abanoub Ghobrial
Xu Zheng
Darryl Hond
Hamid Asgari
Kerstin Eder
AI4CE
103
1
0
30 Apr 2022
Continual Learning with Bayesian Model based on a Fixed Pre-trained
  Feature Extractor
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
Yang Yang
Z. Cui
Junjie Xu
Changhong Zhong
Weishi Zheng
Ruixuan Wang
MedImBDLOOD
57
36
0
28 Apr 2022
Alleviating Representational Shift for Continual Fine-tuning
Alleviating Representational Shift for Continual Fine-tuning
Shibo Jie
Zhi-Hong Deng
Ziheng Li
CLL
89
11
0
22 Apr 2022
Learning to Imagine: Diversify Memory for Incremental Learning using
  Unlabeled Data
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
Yujin Tang
Yifan Peng
Weishi Zheng
CLL
73
31
0
19 Apr 2022
Entropy-based Stability-Plasticity for Lifelong Learning
Entropy-based Stability-Plasticity for Lifelong Learning
Vladimir Araujo
J. Hurtado
Alvaro Soto
Marie-Francine Moens
CLL
71
15
0
18 Apr 2022
Generative Negative Replay for Continual Learning
Generative Negative Replay for Continual Learning
G. Graffieti
Davide Maltoni
Lorenzo Pellegrini
Vincenzo Lomonaco
83
13
0
12 Apr 2022
Out-Of-Distribution Detection In Unsupervised Continual Learning
Out-Of-Distribution Detection In Unsupervised Continual Learning
Jiangpeng He
Fengqing Zhu
OODD
51
9
0
12 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
61
16
0
11 Apr 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVLMVPVLM
134
506
0
10 Apr 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Fu Lee Wang
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
97
262
0
10 Apr 2022
General Incremental Learning with Domain-aware Categorical
  Representations
General Incremental Learning with Domain-aware Categorical Representations
Jiangwei Xie
Shipeng Yan
Xuming He
OODCLL
134
39
0
08 Apr 2022
Class-Incremental Learning with Strong Pre-trained Models
Class-Incremental Learning with Strong Pre-trained Models
Tz-Ying Wu
Gurumurthy Swaminathan
Zhizhong Li
Avinash Ravichandran
Nuno Vasconcelos
Rahul Bhotika
Stefano Soatto
CLL
139
67
0
07 Apr 2022
An Intelligent Framework for Oversubscription Management in CPU-GPU
  Unified Memory
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory
Xinjian Long
Xiang Gong
Huiyang Zhou
64
7
0
06 Apr 2022
Re-examining Distillation For Continual Object Detection
Re-examining Distillation For Continual Object Detection
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Jingyu Sun
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
VLM
111
6
0
04 Apr 2022
Revisiting a kNN-based Image Classification System with High-capacity
  Storage
Revisiting a kNN-based Image Classification System with High-capacity Storage
K. Nakata
Youyang Ng
Daisuke Miyashita
A. Maki
Yu Lin
J. Deguchi
103
26
0
03 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning
A Closer Look at Rehearsal-Free Continual Learning
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
VLMCLL
116
67
0
31 Mar 2022
Constrained Few-shot Class-incremental Learning
Constrained Few-shot Class-incremental Learning
Michael Hersche
G. Karunaratne
G. Cherubini
Luca Benini
Abu Sebastian
Abbas Rahimi
CLL
112
143
0
30 Mar 2022
Unseen Classes at a Later Time? No Problem
Unseen Classes at a Later Time? No Problem
Hari Chandana Kuchibhotla
Sumitra S Malagi
Shivam Chandhok
V. Balasubramanian
CLL
87
10
0
30 Mar 2022
Continual Normalization: Rethinking Batch Normalization for Online
  Continual Learning
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Quang Pham
Chenghao Liu
Guosheng Lin
BDLOnRL
85
60
0
30 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation
Integrative Few-Shot Learning for Classification and Segmentation
Dahyun Kang
Minsu Cho
VLM
99
61
0
29 Mar 2022
Energy-based Latent Aligner for Incremental Learning
Energy-based Latent Aligner for Incremental Learning
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
Rao Muhammad Anwer
V. Balasubramanian
CLL
96
48
0
28 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
A. Bhunia
Viswanatha Reddy Gajjala
Subhadeep Koley
Rohit Kundu
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
CLL
90
30
0
28 Mar 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic
  Segmentation
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Moin Nabi
Xavier Alameda-Pineda
Elisa Ricci
CLL
82
68
0
26 Mar 2022
Class-Incremental Learning for Action Recognition in Videos
Class-Incremental Learning for Action Recognition in Videos
Jaeyoo Park
Minsoo Kang
Bohyung Han
CLL
84
52
0
25 Mar 2022
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