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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 / 1,612 papers shown
Title
Structured Ensembles: an Approach to Reduce the Memory Footprint of
  Ensemble Methods
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
Jary Pomponi
Simone Scardapane
A. Uncini
UQCV
58
8
0
06 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust
  Continual Learning
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
Yuyang Gao
Giorgio Ascoli
Liang Zhao
61
5
0
05 May 2021
The Pursuit of Knowledge: Discovering and Localizing Novel Categories
  using Dual Memory
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
Sai Saketh Rambhatla
Ramalingam Chellappa
Abhinav Shrivastava
162
17
0
04 May 2021
Self-Improving Semantic Perception for Indoor Localisation
Self-Improving Semantic Perception for Indoor Localisation
Hermann Blum
Francesco Milano
René Zurbrugg
Roland Siegward
Cesar Cadena
Abel Gawel
104
8
0
04 May 2021
Learning to Continuously Optimize Wireless Resource in a Dynamic
  Environment: A Bilevel Optimization Perspective
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
Haoran Sun
Wenqiang Pu
Xiao Fu
Tsung-Hui Chang
Mingyi Hong
80
30
0
03 May 2021
A Deep Learning Framework for Lifelong Machine Learning
A Deep Learning Framework for Lifelong Machine Learning
Charles X. Ling
Tanner A. Bohn
CLL
32
5
0
01 May 2021
Preserving Earlier Knowledge in Continual Learning with the Help of All
  Previous Feature Extractors
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
Zhuoyun Li
Changhong Zhong
Sijia Liu
Ruixuan Wang
Weishi Zheng
CLL
61
30
0
28 Apr 2021
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Subhankar Ghosh
BDLCLLVLM
82
7
0
26 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
123
29
0
25 Apr 2021
Class-Incremental Learning with Generative Classifiers
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
96
61
0
20 Apr 2021
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
60
51
0
19 Apr 2021
Continual Learning with Fully Probabilistic Models
Continual Learning with Fully Probabilistic Models
Benedikt Pfülb
A. Gepperth
Benedikt Bagus
BDL
61
8
0
19 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLMBDL
45
13
0
19 Apr 2021
Few-shot Continual Learning: a Brain-inspired Approach
Few-shot Continual Learning: a Brain-inspired Approach
Liyuan Wang
Qian Li
Yi Zhong
Jun Zhu
CLL
60
5
0
19 Apr 2021
On Learning the Geodesic Path for Incremental Learning
On Learning the Geodesic Path for Incremental Learning
Christian Simon
Piotr Koniusz
Mehrtash Harandi
CLL
84
123
0
17 Apr 2021
TIE: A Framework for Embedding-based Incremental Temporal Knowledge
  Graph Completion
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
Jiapeng Wu
Yishi Xu
Yingxue Zhang
Chen Ma
Mark Coates
Jackie C.K. Cheung
CLL
72
22
0
17 Apr 2021
Continual Learning for Fake Audio Detection
Continual Learning for Fake Audio Detection
Haoxin Ma
Jiangyan Yi
J. Tao
Ye Bai
Zhengkun Tian
Chenglong Wang
AAMLCLL
56
48
0
15 Apr 2021
Unsupervised Continual Learning Via Pseudo Labels
Unsupervised Continual Learning Via Pseudo Labels
Jiangpeng He
Feng Zhu
SSLCLL
44
25
0
14 Apr 2021
Neural Architecture Search of Deep Priors: Towards Continual Learning
  without Catastrophic Interference
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
UQCVBDL
56
6
0
14 Apr 2021
Continual Learning for Text Classification with Information
  Disentanglement Based Regularization
Continual Learning for Text Classification with Information Disentanglement Based Regularization
Yufan Huang
Yanzhe Zhang
Jiaao Chen
Xuezhi Wang
Diyi Yang
CLL
68
113
0
12 Apr 2021
New Insights on Reducing Abrupt Representation Change in Online
  Continual Learning
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Lucas Caccia
Rahaf Aljundi
Nader Asadi
Tinne Tuytelaars
Joelle Pineau
Eugene Belilovsky
CLL
134
201
0
11 Apr 2021
Unsupervised Class-Incremental Learning Through Confusion
Unsupervised Class-Incremental Learning Through Confusion
Shivam Khare
Kun Cao
James M. Rehg
SSLCLL
89
6
0
09 Apr 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Zhiqiu Lin
Deva Ramanan
Aayush Bansal
LRM
70
5
0
07 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang
Nan Song
Guosheng Lin
Yun Zheng
Pan Pan
Yinghui Xu
CLL
131
301
0
07 Apr 2021
Tuned Compositional Feature Replays for Efficient Stream Learning
Tuned Compositional Feature Replays for Efficient Stream Learning
Morgan B. Talbot
Rushikesh Zawar
Rohil Badkundri
Mengmi Zhang
Gabriel Kreiman
CLL
166
2
0
06 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift
  Analysis
Understanding Continual Learning Settings with Data Distribution Drift Analysis
Timothée Lesort
Massimo Caccia
Irina Rish
99
56
0
04 Apr 2021
Class-incremental Learning using a Sequence of Partial Implicitly
  Regularized Classifiers
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers
Sobirdzhon Bobiev
Adil Khan
S. M. Ahsan Kazmi
CLL
19
0
0
04 Apr 2021
Half-Real Half-Fake Distillation for Class-Incremental Semantic
  Segmentation
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
Zilong Huang
Wentian Hao
Xinggang Wang
Mingyuan Tao
Jianqiang Huang
Wenyu Liu
Xiansheng Hua
CLL
52
12
0
02 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
77
132
0
01 Apr 2021
Avalanche: an End-to-End Library for Continual Learning
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
Andrea Cossu
Antonio Carta
G. Graffieti
...
Christopher Kanan
Joost van de Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDLAI4TS
115
188
0
01 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
124
347
0
31 Mar 2021
DER: Dynamically Expandable Representation for Class Incremental
  Learning
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
71
461
0
31 Mar 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Andrea Rosasco
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
DD
75
49
0
29 Mar 2021
Human-in-the-loop Handling of Knowledge Drift
Human-in-the-loop Handling of Knowledge Drift
A. Bontempelli
Fausto Giunchiglia
Andrea Passerini
Stefano Teso
44
7
0
27 Mar 2021
Continual Speaker Adaptation for Text-to-Speech Synthesis
Continual Speaker Adaptation for Text-to-Speech Synthesis
Hamed Hemati
Damian Borth
CLL
77
9
0
26 Mar 2021
Self-Supervised Training Enhances Online Continual Learning
Self-Supervised Training Enhances Online Continual Learning
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
CLL
103
68
0
25 Mar 2021
Efficient Feature Transformations for Discriminative and Generative
  Continual Learning
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay Kumar Verma
Kevin J. Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
106
78
0
25 Mar 2021
Incrementally Zero-Shot Detection by an Extreme Value Analyzer
Incrementally Zero-Shot Detection by an Extreme Value Analyzer
Sixiao Zheng
Yanwei Fu
Yanxi Hou
VLMObjD
134
1
0
23 Mar 2021
Balanced softmax cross-entropy for incremental learning with and without
  memory
Balanced softmax cross-entropy for incremental learning with and without memory
Quentin Jodelet
Xin Liu
T. Murata
CLL
115
28
0
23 Mar 2021
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
Nan Pu
Wei Chen
Yu Liu
E. Bakker
M. Lew
CLL
92
83
0
23 Mar 2021
Gradient Regularized Contrastive Learning for Continual Domain
  Adaptation
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Shixiang Tang
Peng Su
Peng Gao
Ni Zhao
CLL
71
67
0
23 Mar 2021
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental
  Object Learning
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
Ali Ayub
Alan R. Wagner
CLL
103
12
0
23 Mar 2021
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental
  Learning
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning
Mozhgan Pourkeshavarz
Mohammad Sabokrou
CLLVLM
33
0
0
22 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
99
188
0
22 Mar 2021
DeepViT: Towards Deeper Vision Transformer
DeepViT: Towards Deeper Vision Transformer
Daquan Zhou
Bingyi Kang
Xiaojie Jin
Linjie Yang
Xiaochen Lian
Zihang Jiang
Qibin Hou
Jiashi Feng
ViT
132
525
0
22 Mar 2021
ConDA: Continual Unsupervised Domain Adaptation
ConDA: Continual Unsupervised Domain Adaptation
A. M. N. Taufique
C. S. Jahan
Andreas E. Savakis
TTACLL
108
10
0
19 Mar 2021
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLMCLL
89
292
0
17 Mar 2021
Learning Novel Objects Continually Through Curiosity
Learning Novel Objects Continually Through Curiosity
Ali Ayub
Alan R. Wagner
CLL
101
4
0
13 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual
  Learning
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang
Xiaorong Li
Jian Sun
Zongben Xu
CLL
101
144
0
12 Mar 2021
Towards Continual Learning for Multilingual Machine Translation via
  Vocabulary Substitution
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
Xavier Garcia
Noah Constant
Ankur P. Parikh
Orhan Firat
140
46
0
11 Mar 2021
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