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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
Learn to Grow: A Continual Structure Learning Framework for Overcoming
  Catastrophic Forgetting
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
CLL
117
439
0
31 Mar 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
141
206
0
29 Mar 2019
RILOD: Near Real-Time Incremental Learning for Object Detection at the
  Edge
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
Dawei Li
Serafettin Tasci
Shalini Ghosh
Jingwen Zhu
Junting Zhang
Larry Heck
ObjD
71
9
0
26 Mar 2019
Gradient based sample selection for online continual learning
Gradient based sample selection for online continual learning
Rahaf Aljundi
Min Lin
Baptiste Goujaud
Yoshua Bengio
BDLCLL
146
840
0
20 Mar 2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via
  NonExpansive AutoML
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Jie Zhang
Junting Zhang
Shalini Ghosh
Dawei Li
Jingwen Zhu
Heming Zhang
Yalin Wang
CLL
27
2
0
20 Mar 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
121
341
0
19 Mar 2019
Sentence Embedding Alignment for Lifelong Relation Extraction
Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
CLL
78
136
0
06 Mar 2019
Representative Task Self-selection for Flexible Clustered Lifelong
  Learning
Representative Task Self-selection for Flexible Clustered Lifelong Learning
Gan Sun
Yang Cong
Qianqian Wang
Bineng Zhong
Y. Fu
CLL
54
55
0
06 Mar 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
99
302
0
28 Feb 2019
On Tiny Episodic Memories in Continual Learning
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip Torr
MarcÁurelio Ranzato
CLL
95
402
0
27 Feb 2019
Online Meta-Learning
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
89
256
0
22 Feb 2019
Generative Memory for Lifelong Reinforcement Learning
Generative Memory for Lifelong Reinforcement Learning
Aswin Raghavan
Jesse Hostetler
S. Chai
OffRLCLL
39
2
0
22 Feb 2019
Superposition of many models into one
Superposition of many models into one
Brian Cheung
A. Terekhov
Yubei Chen
Pulkit Agrawal
Bruno A. Olshausen
MoMe
87
116
0
14 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based
  memory module
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Tiago Ramalho
M. Garnelo
BDL
120
78
0
07 Feb 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking
  Forgetting and Intransigence
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
Dahyun Kim
Jihwan Bae
Yeonsik Jo
Jonghyun Choi
OODCLL
75
20
0
03 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLLBDL
77
187
0
31 Jan 2019
Exploring the Challenges towards Lifelong Fact Learning
Exploring the Challenges towards Lifelong Fact Learning
Mohamed Elhoseiny
F. Babiloni
Rahaf Aljundi
Marcus Rohrbach
Manohar Paluri
Tinne Tuytelaars
56
12
0
26 Dec 2018
Generative Models from the perspective of Continual Learning
Generative Models from the perspective of Continual Learning
Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia Ortiz
Andrei Stoian
David Filliat
VLMDiffM
77
158
0
21 Dec 2018
Deep Online Learning via Meta-Learning: Continual Adaptation for
  Model-Based RL
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi
Chelsea Finn
Sergey Levine
OffRLCLL
107
191
0
18 Dec 2018
Classifier and Exemplar Synthesis for Zero-Shot Learning
Classifier and Exemplar Synthesis for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Boqing Gong
Fei Sha
VLM
88
49
0
16 Dec 2018
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
142
362
0
10 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without
  Catastrophic Forgetting
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
VLMCLL
83
104
0
06 Dec 2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Jian-wei Peng
Jiang Hao
Zhuo Li
Enqiang Guo
X. Wan
Min Deng
Qing Zhu
Haifeng Li
CLL
27
5
0
04 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Junfeng Wen
Yanshuai Cao
Ruitong Huang
CLL
49
24
0
03 Dec 2018
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
238
1,467
0
02 Dec 2018
Learning without Memorizing
Learning without Memorizing
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
127
487
0
20 Nov 2018
Towards Training Recurrent Neural Networks for Lifelong Learning
Towards Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani
A. Chandar
Yoshua Bengio
CLL
65
19
0
16 Nov 2018
Concept-Oriented Deep Learning: Generative Concept Representations
Concept-Oriented Deep Learning: Generative Concept Representations
Daniel T. Chang
DRLGANBDL
74
12
0
15 Nov 2018
Extending Pretrained Segmentation Networks with Additional Anatomical
  Structures
Extending Pretrained Segmentation Networks with Additional Anatomical Structures
Firat Özdemir
Orçun Göksel
CLL
64
45
0
12 Nov 2018
Prototypical Clustering Networks for Dermatological Disease Diagnosis
Prototypical Clustering Networks for Dermatological Disease Diagnosis
Siyu Dai
Shawn Schaffert
Murali Ravuri
Manish Chablani
David Sontag
B. Williams
78
18
0
07 Nov 2018
On the role of neurogenesis in overcoming catastrophic forgetting
On the role of neurogenesis in overcoming catastrophic forgetting
G. I. Parisi
Jongsoo Keum
Hojung Nam
CLLOffRL
54
14
0
06 Nov 2018
Closed-Loop Memory GAN for Continual Learning
Closed-Loop Memory GAN for Continual Learning
A. Rios
Laurent Itti
BDLVLM
97
22
0
03 Nov 2018
Progressive Memory Banks for Incremental Domain Adaptation
Progressive Memory Banks for Incremental Domain Adaptation
Nabiha Asghar
Lili Mou
Kira A. Selby
Kevin D. Pantasdo
Pascal Poupart
Xin Jiang
CLL
72
25
0
01 Nov 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case
  for Strong Baselines
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLLELM
97
359
0
30 Oct 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote
  Sensing Data
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
O. Tasar
Y. Tarabalka
Pierre Alliez
CLL
115
127
0
29 Oct 2018
Marginal Replay vs Conditional Replay for Continual Learning
Marginal Replay vs Conditional Replay for Continual Learning
Timothée Lesort
A. Gepperth
Andrei Stoian
David Filliat
BDL
100
35
0
29 Oct 2018
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
111
792
0
29 Oct 2018
Generative Low-Shot Network Expansion
Generative Low-Shot Network Expansion
Adi Hayat
M. Kliger
S. Fleishman
Daniel Cohen-Or
CLLVLM
18
0
0
19 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren
Renjie Liao
Ethan Fetaya
R. Zemel
CLL
110
182
0
16 Oct 2018
Transfer Incremental Learning using Data Augmentation
Transfer Incremental Learning using Data Augmentation
G. B. Hacene
Vincent Gripon
Nicolas Farrugia
M. Arzel
M. Jézéquel
CLL
18
10
0
04 Oct 2018
Generative replay with feedback connections as a general strategy for
  continual learning
Generative replay with feedback connections as a general strategy for continual learning
Gido M. van de Ven
A. Tolias
CLLKELM
107
226
0
27 Sep 2018
Distribution Networks for Open Set Learning
Distribution Networks for Open Set Learning
Chengsheng Mao
Liang Yao
Yuan Luo
OOD
54
2
0
20 Sep 2018
Open-world Learning and Application to Product Classification
Open-world Learning and Application to Product Classification
Hu Xu
Bing-Quan Liu
Lei Shu
P. Yu
CLLVLM
85
111
0
17 Sep 2018
Memory Efficient Experience Replay for Streaming Learning
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes
N. Cahill
Christopher Kanan
84
233
0
16 Sep 2018
Memory Replay GANs: learning to generate images from new categories
  without forgetting
Memory Replay GANs: learning to generate images from new categories without forgetting
Chenshen Wu
Luis Herranz
Xialei Liu
Yaxing Wang
Joost van de Weijer
Bogdan Raducanu
CLLVLMGAN
87
197
0
06 Sep 2018
Extreme Value Theory for Open Set Classification -- GPD and GEV
  Classifiers
Extreme Value Theory for Open Set Classification -- GPD and GEV Classifiers
Edoardo Vignotto
Sebastian Engelke
42
17
0
29 Aug 2018
DeeSIL: Deep-Shallow Incremental Learning
DeeSIL: Deep-Shallow Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
98
73
0
20 Aug 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
108
72
0
14 Aug 2018
End-to-End Incremental Learning
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
115
1,163
0
25 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
203
2,078
0
10 Jul 2018
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