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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 / 2,041 papers shown
Title
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
Incremental Prototype Tuning for Class Incremental Learning
Incremental Prototype Tuning for Class Incremental Learning
Jieren Deng
Jianhua Hu
Haojian Zhang
Yunkuan Wang
CLLVLM
110
3
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
Overcoming Catastrophic Forgetting in Incremental Object Detection via
  Elastic Response Distillation
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
Tao Feng
Mang Wang
Hangjie Yuan
ObjDCLL
105
92
0
05 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
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
112
129
0
31 Mar 2022
Task Adaptive Parameter Sharing for Multi-Task Learning
Task Adaptive Parameter Sharing for Multi-Task Learning
Matthew Wallingford
Hao Li
Alessandro Achille
Avinash Ravichandran
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
MoMe
88
63
0
30 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
Rainbow Keywords: Efficient Incremental Learning for Online Spoken
  Keyword Spotting
Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting
Yanghua Xiao
Nana Hou
Eng Siong Chng
CLL
68
15
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
Gradient-Matching Coresets for Rehearsal-Based Continual Learning
Gradient-Matching Coresets for Rehearsal-Based Continual Learning
Lukas Balles
Giovanni Zappella
Cédric Archambeau
CLL
55
3
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
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OODTTA
116
434
0
25 Mar 2022
Probing Representation Forgetting in Supervised and Unsupervised
  Continual Learning
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
Mohammad-Javad Davari
Nader Asadi
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
CLLKELM
60
77
0
24 Mar 2022
Tackling Online One-Class Incremental Learning by Removing Negative
  Contrasts
Tackling Online One-Class Incremental Learning by Removing Negative Contrasts
Nader Asadi
Sudhir Mudur
Eugene Belilovsky
CLL
57
5
0
24 Mar 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an
  Account of Attention, Functional and Weight Regularization
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
Francesco Pelosin
Saurav Jha
A. Torsello
Bogdan Raducanu
Joost van de Weijer
CLL
117
31
0
24 Mar 2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class
  Incremental Learning
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning
Qiankun Gao
Chen Zhao
Guohao Li
Jian Zhang
CLL
77
70
0
24 Mar 2022
The Challenges of Continuous Self-Supervised Learning
The Challenges of Continuous Self-Supervised Learning
Senthil Purushwalkam
Pedro Morgado
Abhinav Gupta
CLL
87
44
0
23 Mar 2022
SMEMO: Social Memory for Trajectory Forecasting
SMEMO: Social Memory for Trajectory Forecasting
Francesco Marchetti
Federico Becattini
Lorenzo Seidenari
A. Bimbo
106
28
0
23 Mar 2022
Meta-attention for ViT-backed Continual Learning
Meta-attention for ViT-backed Continual Learning
Mengqi Xue
Haofei Zhang
Mingli Song
Mingli Song
CLL
75
43
0
22 Mar 2022
Federated Class-Incremental Learning
Federated Class-Incremental Learning
Jiahua Dong
Lixu Wang
Zhen Fang
Gan Sun
Shichao Xu
Tianlin Li
Qi Zhu
CLLFedML
117
186
0
22 Mar 2022
Online Continual Learning for Embedded Devices
Online Continual Learning for Embedded Devices
Tyler L. Hayes
Christopher Kanan
CLL
96
56
0
21 Mar 2022
Practical Recommendations for Replay-based Continual Learning Methods
Practical Recommendations for Replay-based Continual Learning Methods
Gabriele Merlin
Vincenzo Lomonaco
Andrea Cossu
Antonio Carta
D. Bacciu
CLL
121
28
0
19 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing
Incremental Few-Shot Learning via Implanting and Compressing
Yiting Li
H. Zhu
Xijia Feng
Zilong Cheng
Jun Ma
Cheng Xiang
P. Vadakkepat
T. Lee
CLLVLM
94
2
0
19 Mar 2022
Continual Learning Based on OOD Detection and Task Masking
Continual Learning Based on OOD Detection and Task Masking
Gyuhak Kim
Sepideh Esmaeilpour
Changnan Xiao
Bing-Quan Liu
OODDCLL
57
18
0
17 Mar 2022
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
65
3
0
17 Mar 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and
  Adaptation
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation
Bing-Quan Liu
Sahisnu Mazumder
Eric Robertson
Scott Grigsby
CLLAI4CE
77
22
0
17 Mar 2022
A Continual Learning Framework for Adaptive Defect Classification and
  Inspection
A Continual Learning Framework for Adaptive Defect Classification and Inspection
Wenbo Sun
Raed Al Kontar
Judy Jin
Tzyy-Shuh Chang
47
11
0
16 Mar 2022
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
Hanbin Zhao
Fengyu Yang
Xinghe Fu
Xi Li
CLL
125
31
0
16 Mar 2022
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan
Yuge Zhang
Quanlu Zhang
Yaming Yang
Xinyang Jiang
Yuqing Yang
Baoyuan Wang
CVBM
66
6
0
16 Mar 2022
SATS: Self-Attention Transfer for Continual Semantic Segmentation
SATS: Self-Attention Transfer for Continual Semantic Segmentation
Yiqiao Qiu
Yixing Shen
Zhuohao Sun
Yanchong Zheng
Xiaobin Chang
Weishi Zheng
Ruixuan Wang
CLL
95
30
0
15 Mar 2022
Forward Compatible Few-Shot Class-Incremental Learning
Forward Compatible Few-Shot Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
Liang Ma
Shiliang Pu
De-Chuan Zhan
CLL
91
187
0
14 Mar 2022
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation
Youming Deng
Yansheng Li
Yongjun Zhang
Xiang Xiang
Jian Wang
Jingdong Chen
Jiayi Ma
131
22
0
14 Mar 2022
Continual Prompt Tuning for Dialog State Tracking
Continual Prompt Tuning for Dialog State Tracking
Qi Zhu
Bing Li
Fei Mi
Xiaoyan Zhu
Minlie Huang
CLLKELM
92
60
0
13 Mar 2022
Unsupervised Lifelong Person Re-identification via Contrastive Rehearsal
Unsupervised Lifelong Person Re-identification via Contrastive Rehearsal
Hao Chen
Benoit Lagadec
Francois Bremond
CLL
73
6
0
12 Mar 2022
ELLE: Efficient Lifelong Pre-training for Emerging Data
ELLE: Efficient Lifelong Pre-training for Emerging Data
Yujia Qin
Jiajie Zhang
Yankai Lin
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
125
74
0
12 Mar 2022
Can I see an Example? Active Learning the Long Tail of Attributes and
  Relations
Can I see an Example? Active Learning the Long Tail of Attributes and Relations
Tyler L. Hayes
Maximilian Nickel
Christopher Kanan
Ludovic Denoyer
Arthur Szlam
VLM
69
3
0
11 Mar 2022
Deep Class Incremental Learning from Decentralized Data
Deep Class Incremental Learning from Decentralized Data
Xiaohan Zhang
Songlin Dong
Jinjie Chen
Qiaoling Tian
Yihong Gong
Xiaopeng Hong
CLL
81
11
0
11 Mar 2022
Lifelong Adaptive Machine Learning for Sensor-based Human Activity
  Recognition Using Prototypical Networks
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks
Rebecca Adaimi
Edison Thomaz
CLL
59
15
0
11 Mar 2022
AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label
  Image Recognition
AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognition
Kaile Du
Fan Lyu
Fuyuan Hu
Linyan Li
Wei Feng
Fenglei Xu
Qiming Fu
CLL
74
18
0
10 Mar 2022
Representation Compensation Networks for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic Segmentation
Chang-Bin Zhang
Jianqiang Xiao
Xialei Liu
Ying-Cong Chen
Mingg-Ming Cheng
SSegCLL
105
95
0
10 Mar 2022
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