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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
Online Deep Metric Learning via Mutual Distillation
Online Deep Metric Learning via Mutual Distillation
Gaowen Liu
Wanqing Zhao
Jie Zhao
FedMLCLL
26
1
0
10 Mar 2022
Memory Efficient Continual Learning with Transformers
Memory Efficient Continual Learning with Transformers
Beyza Ermis
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
CLL
84
46
0
09 Mar 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning
On Generalizing Beyond Domains in Cross-Domain Continual Learning
Christian Simon
M. Faraki
Yi-Hsuan Tsai
Xiang Yu
S. Schulter
Yumin Suh
Mehrtash Harandi
Manmohan Chandraker
FedMLOODCLL
68
32
0
08 Mar 2022
Dynamic Template Selection Through Change Detection for Adaptive Siamese
  Tracking
Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking
M. Kiran
Le Thanh Nguyen-Meidine
R. Sahay
Rafael M. O. Cruz
Louis-Antoine Blais-Morin
Eric Granger
54
2
0
07 Mar 2022
Continual Few-shot Relation Learning via Embedding Space Regularization
  and Data Augmentation
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation
Chengwei Qin
Shafiq Joty
BDLCLL
76
38
0
04 Mar 2022
Learning Incrementally to Segment Multiple Organs in a CT Image
Learning Incrementally to Segment Multiple Organs in a CT Image
Peng Liu
Xia Wang
Mengsi Fan
Hongli Pan
Minmin Yin
...
Xiaoying Zhao
Li Xiao
Liangjing Ding
Xingwang Wu
S. Kevin Zhou
CLL
72
22
0
04 Mar 2022
Provable and Efficient Continual Representation Learning
Provable and Efficient Continual Representation Learning
Yingcong Li
Mingchen Li
M. Salman Asif
Samet Oymak
CLL
61
13
0
03 Mar 2022
CAFE: Learning to Condense Dataset by Aligning Features
CAFE: Learning to Condense Dataset by Aligning Features
Kai Wang
Bo Zhao
Xiangyu Peng
Zheng Zhu
Shuo Yang
Shuo Wang
Guan Huang
Hakan Bilen
Xinchao Wang
Yang You
DD
79
0
0
03 Mar 2022
InCloud: Incremental Learning for Point Cloud Place Recognition
InCloud: Incremental Learning for Point Cloud Place Recognition
Joshua Knights
Peyman Moghadam
Milad Ramezani
Sridha Sridharan
Clinton Fookes
3DPC
87
27
0
02 Mar 2022
A Versatile Agent for Fast Learning from Human Instructors
A Versatile Agent for Fast Learning from Human Instructors
Yiwen Chen
Zedong Zhang
Hao-Kang Liu
Jiayi Tan
C. Chew
Marcelo H. Ang Jr
35
0
0
01 Mar 2022
Robust Continual Learning through a Comprehensively Progressive Bayesian
  Neural Network
Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network
Guo Yang
C. Wong
Savitha Ramasamy
CLL
105
3
0
27 Feb 2022
HCIL: Hierarchical Class Incremental Learning for Longline Fishing
  Visual Monitoring
HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring
J. Mei
S. Romain
Craig S. Rose
Kelsey Magrane
Lei Li
26
3
0
25 Feb 2022
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined
  Classification
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification
L. Yu
Zhenyu Weng
Yuqing Wang
Yuesheng Zhu
CLL
75
6
0
23 Feb 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Xiwei Xu
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLLAI4CE
120
53
0
22 Feb 2022
Learning Bayesian Sparse Networks with Full Experience Replay for
  Continual Learning
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
Dong Gong
Qingsen Yan
Yuhang Liu
Anton Van Den Hengel
Javen Qinfeng Shi
CLLBDL
89
40
0
21 Feb 2022
Continual Learning Beyond a Single Model
Continual Learning Beyond a Single Model
T. Doan
Seyed Iman Mirzadeh
Mehrdad Farajtabar
CLL
92
16
0
20 Feb 2022
Detecting and Learning the Unknown in Semantic Segmentation
Detecting and Learning the Unknown in Semantic Segmentation
Robin Shing Moon Chan
Svenja Uhlemeyer
Matthias Rottmann
Hanno Gottschalk
UQCV
102
5
0
17 Feb 2022
Diagnosing Batch Normalization in Class Incremental Learning
Diagnosing Batch Normalization in Class Incremental Learning
Minghao Zhou
Quanziang Wang
Jun Shu
Qian Zhao
Deyu Meng
CLL
79
6
0
16 Feb 2022
Improving Pedestrian Prediction Models with Self-Supervised Continual
  Learning
Improving Pedestrian Prediction Models with Self-Supervised Continual Learning
Luzia Knoedler
C. Salmi
Hai Zhu
B. Brito
Javier Alonso-Mora
SSLCLL
44
14
0
15 Feb 2022
Continual Learning from Demonstration of Robotics Skills
Continual Learning from Demonstration of Robotics Skills
Sayantan Auddy
Jakob J. Hollenstein
Matteo Saveriano
A. Rodríguez-Sánchez
J. Piater
22
23
0
14 Feb 2022
Memory Replay with Data Compression for Continual Learning
Memory Replay with Data Compression for Continual Learning
Liyuan Wang
Xingxing Zhang
Kuo Yang
L. Yu
Chongxuan Li
Lanqing Hong
Shifeng Zhang
Zhenguo Li
Yi Zhong
Jun Zhu
92
105
0
14 Feb 2022
Exemplar-free Online Continual Learning
Exemplar-free Online Continual Learning
Jiangpeng He
Fengqing Zhu
CLL
88
20
0
11 Feb 2022
Incremental Learning of Structured Memory via Closed-Loop Transcription
Incremental Learning of Structured Memory via Closed-Loop Transcription
Shengbang Tong
Xili Dai
Ziyang Wu
Mingyang Li
Brent Yi
Yi-An Ma
CLL
88
19
0
11 Feb 2022
False Memory Formation in Continual Learners Through Imperceptible
  Backdoor Trigger
False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger
Muhammad Umer
R. Polikar
AAML
45
6
0
09 Feb 2022
Self-Paced Imbalance Rectification for Class Incremental Learning
Zhiheng Liu
Kai Zhu
Yang Cao
CLL
142
0
0
08 Feb 2022
Dataset Condensation with Contrastive Signals
Dataset Condensation with Contrastive Signals
Saehyung Lee
Sanghyuk Chun
Sangwon Jung
Sangdoo Yun
Sung-Hoon Yoon
DD
101
103
0
07 Feb 2022
Interactron: Embodied Adaptive Object Detection
Interactron: Embodied Adaptive Object Detection
Klemen Kotar
Roozbeh Mottaghi
95
26
0
01 Feb 2022
Continual Attentive Fusion for Incremental Learning in Semantic
  Segmentation
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Hao Tang
Xavier Alameda-Pineda
Elisa Ricci
CLL
74
22
0
01 Feb 2022
A Comparative Study of Calibration Methods for Imbalanced Class
  Incremental Learning
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning
Umang Aggarwal
Adrian Daniel Popescu
Eden Belouadah
C´eline Hudelot
CLL
99
4
0
01 Feb 2022
Fully Online Meta-Learning Without Task Boundaries
Fully Online Meta-Learning Without Task Boundaries
Jathushan Rajasegaran
Chesea Finn
Sergey Levine
CLL
68
4
0
01 Feb 2022
Modeling the Background for Incremental and Weakly-Supervised Semantic
  Segmentation
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
70
8
0
31 Jan 2022
Learning Fast, Learning Slow: A General Continual Learning Method based
  on Complementary Learning System
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
175
137
0
29 Jan 2022
Rebalancing Batch Normalization for Exemplar-based Class-Incremental
  Learning
Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning
Sungmin Cha
Sungjun Cho
Dasol Hwang
Sunwon Hong
Moontae Lee
Taesup Moon
CLL
132
19
0
29 Jan 2022
Progressive Continual Learning for Spoken Keyword Spotting
Progressive Continual Learning for Spoken Keyword Spotting
Yizheng Huang
Nana Hou
Nancy F. Chen
CLL
102
16
0
29 Jan 2022
Unified Question Generation with Continual Lifelong Learning
Unified Question Generation with Continual Lifelong Learning
Wei Yuan
Hongzhi Yin
Tieke He
Tong Chen
Qiufeng Wang
Li-zhen Cui
101
11
0
24 Jan 2022
PaRT: Parallel Learning Towards Robust and Transparent AI
PaRT: Parallel Learning Towards Robust and Transparent AI
Mahsa Paknezhad
Hamsawardhini Rengarajan
Chenghao Yuan
Sujanya Suresh
Manas Gupta
Savitha Ramasamy
Hwee Kuan Lee
OOD
73
1
0
24 Jan 2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark
vCLIMB: A Novel Video Class Incremental Learning Benchmark
Andrés Villa
Kumail Alhamoud
Juan Carlos León Alcázar
Fabian Caba Heilbron
Victor Escorcia
Guohao Li
CLL
149
33
0
23 Jan 2022
Learning to Predict Gradients for Semi-Supervised Continual Learning
Learning to Predict Gradients for Semi-Supervised Continual Learning
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
SSLCLL
70
8
0
23 Jan 2022
Logarithmic Continual Learning
Logarithmic Continual Learning
Wojciech Masarczyk
Pawel Wawrzyñski
Daniel Marczak
Kamil Deja
Tomasz Trzciñski
69
4
0
17 Jan 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLLVLM
203
93
0
17 Jan 2022
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are
  Better Continual Learners
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners
Duo Li
Guimei Cao
Yunlu Xu
Zhanzhan Cheng
Yi Niu
CLL
89
21
0
13 Jan 2022
Continual Learning of Long Topic Sequences in Neural Information
  Retrieval
Continual Learning of Long Topic Sequences in Neural Information Retrieval
Thomas Gerald
Laure Soulier
CLL
75
6
0
10 Jan 2022
Robust and Resource-Efficient Data-Free Knowledge Distillation by
  Generative Pseudo Replay
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay
Kuluhan Binici
Shivam Aggarwal
N. Pham
K. Leman
T. Mitra
TTA
110
48
0
09 Jan 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary
  Diseases from the Multi-vendor Chest Radiographs
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Mehreen Sirshar
Taimur Hassan
M. Akram
S. Khan
64
34
0
07 Jan 2022
A Novel Incremental Learning Driven Instance Segmentation Framework to
  Recognize Highly Cluttered Instances of the Contraband Items
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
Naoufel Werghi
72
26
0
07 Jan 2022
Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun
Qingyong Li
Jing Zhang
Danyu Wang
Wen Wang
Yangli-ao Geng
BDL
85
3
0
05 Jan 2022
Hyperparameter-free Continuous Learning for Domain Classification in
  Natural Language Understanding
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
Ting Hua
Yilin Shen
Changsheng Zhao
Yen-Chang Hsu
Hongxia Jin
81
5
0
05 Jan 2022
Self-directed Machine Learning
Self-directed Machine Learning
Wenwu Zhu
Xin Eric Wang
P. Xie
67
6
0
04 Jan 2022
Towards Unsupervised Open World Semantic Segmentation
Towards Unsupervised Open World Semantic Segmentation
Svenja Uhlemeyer
Matthias Rottmann
Hanno Gottschalk
133
18
0
04 Jan 2022
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in
  Remote Sensing
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing
Gaston Lenczner
Adrien Chan-Hon-Tong
Bertrand Le Saux
Nicola Luminari
G. L. Besnerais
40
37
0
04 Jan 2022
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