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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
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
144
153
0
03 Sep 2020
Lifelong Object Detection
Lifelong Object Detection
Wang Zhou
Shiyu Chang
Norma Sosa
Hendrik Hamann
David D. Cox
CLLObjD
99
43
0
02 Sep 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data
  Streams
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
Matthias De Lange
Tinne Tuytelaars
CLL
91
208
0
02 Sep 2020
Lifelong Graph Learning
Lifelong Graph Learning
Chen Wang
Yuheng Qiu
Dasong Gao
Sebastian Scherer
CLLGNNAI4CE
103
51
0
01 Sep 2020
Initial Classifier Weights Replay for Memoryless Class Incremental
  Learning
Initial Classifier Weights Replay for Memoryless Class Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
118
23
0
31 Aug 2020
iLGaCo: Incremental Learning of Gait Covariate Factors
iLGaCo: Incremental Learning of Gait Covariate Factors
Zihao Mu
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Yan-Ran Li
Shiqi Yu
66
5
0
31 Aug 2020
Learning Adaptive Embedding Considering Incremental Class
Learning Adaptive Embedding Considering Incremental Class
Yang Yang
Zhensheng Sun
HengShu Zhu
Yanjie Fu
Hui Xiong
Jian Yang
CLL
69
41
0
31 Aug 2020
Active Class Incremental Learning for Imbalanced Datasets
Active Class Incremental Learning for Imbalanced Datasets
Eden Belouadah
Adrian Daniel Popescu
Umang Aggarwal
Léo Saci
CLL
62
12
0
25 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender
  Systems
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Yishi Xu
Yingxue Zhang
Wei Guo
Huifeng Guo
Ruiming Tang
Mark Coates
CLL
92
82
0
25 Aug 2020
What am I allowed to do here?: Online Learning of Context-Specific Norms
  by Pepper
What am I allowed to do here?: Online Learning of Context-Specific Norms by Pepper
Ali Ayub
Alan R. Wagner
OffRL
52
13
0
22 Aug 2020
Towards Class-incremental Object Detection with Nearest Mean of Exemplars
Sheng Ren
Yan He
N. Xiong
Kehua Guo
CLL
39
1
0
19 Aug 2020
LIRA: Lifelong Image Restoration from Unknown Blended Distortions
LIRA: Lifelong Image Restoration from Unknown Blended Distortions
Jianzhao Liu
Jianxin Lin
Xin Li
Wei Zhou
Sen Liu
Zhibo Chen
CLL
63
17
0
19 Aug 2020
RODEO: Replay for Online Object Detection
RODEO: Replay for Online Object Detection
Manoj Acharya
Tyler L. Hayes
Christopher Kanan
ObjDCLL
67
46
0
14 Aug 2020
Continual Class Incremental Learning for CT Thoracic Segmentation
Continual Class Incremental Learning for CT Thoracic Segmentation
Abdelrahman Elskhawy
Aneta Lisowska
Matthias Keicher
Josep Henry
Paul Thomson
Nassir Navab
CLL
54
7
0
12 Aug 2020
S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification
S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification
Yang Yang
Zhensheng Sun
Hui Xiong
Jian Yang
30
23
0
11 Aug 2020
Online Continual Learning under Extreme Memory Constraints
Online Continual Learning under Extreme Memory Constraints
Enrico Fini
Stéphane Lathuilière
E. Sangineto
Moin Nabi
Elisa Ricci
CLL
105
65
0
04 Aug 2020
Memory Efficient Class-Incremental Learning for Image Classification
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao
Haibo Wang
Yongjian Fu
Leilei Gan
Xi Li
CLLVLM
79
76
0
04 Aug 2020
Class-Incremental Domain Adaptation
Class-Incremental Domain Adaptation
Jogendra Nath Kundu
R. Venkatesh
Naveen Venkat
Ambareesh Revanur
R. Venkatesh Babu
CLL
69
51
0
04 Aug 2020
Bilevel Continual Learning
Bilevel Continual Learning
Quang Pham
Doyen Sahoo
Chenghao Liu
Guosheng Lin
CLL
83
11
0
30 Jul 2020
La-MAML: Look-ahead Meta Learning for Continual Learning
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta
Karmesh Yadav
Liam Paull
CLLVLM
110
68
0
27 Jul 2020
Two-Level Residual Distillation based Triple Network for Incremental
  Object Detection
Two-Level Residual Distillation based Triple Network for Incremental Object Detection
Dongbao Yang
Yu Zhou
Dayan Wu
Can Ma
Fei Yang
Weiping Wang
ObjD
57
18
0
27 Jul 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning
  without Task Interference
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
108
72
0
24 Jul 2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning
  for Session-based Recommendation
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
Fei Mi
Xiao Lin
Boi Faltings
CLL
89
53
0
23 Jul 2020
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V
  Extreme-Edge Node
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node
Leonardo Ravaglia
Manuele Rusci
Alessandro Capotondi
Francesco Conti
Lorenzo Pellegrini
Vincenzo Lomonaco
Davide Maltoni
Luca Benini
37
11
0
22 Jul 2020
Drinking from a Firehose: Continual Learning with Web-scale Natural
  Language
Drinking from a Firehose: Continual Learning with Web-scale Natural Language
Hexiang Hu
Ozan Sener
Fei Sha
V. Koltun
CLL
62
27
0
18 Jul 2020
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation
  in the Wild
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
Umberto Michieli
E. Borsato
Luca Rossi
Pietro Zanuttigh
140
40
0
17 Jul 2020
A Biologically Plausible Audio-Visual Integration Model for Continual
  Learning
A Biologically Plausible Audio-Visual Integration Model for Continual Learning
Wenjie Chen
Fengtong Du
Ye Wang
Lihong Cao
CLL
38
0
0
17 Jul 2020
SpaceNet: Make Free Space For Continual Learning
SpaceNet: Make Free Space For Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
79
81
0
15 Jul 2020
Tell me what this is: Few-Shot Incremental Object Learning by a Robot
Tell me what this is: Few-Shot Incremental Object Learning by a Robot
Ali Ayub
Alan R. Wagner
101
32
0
15 Jul 2020
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition,
  and Selective Transfer
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
Aswin Raghavan
Jesse Hostetler
Indranil Sur
Abrar Rahman
Ajay Divakaran
CLL
45
7
0
14 Jul 2020
Disentanglement of Color and Shape Representations for Continual
  Learning
Disentanglement of Color and Shape Representations for Continual Learning
David Berga
Marc Masana
Joost van de Weijer
CLL
34
2
0
13 Jul 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image
  Captioning
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLLVLM
77
41
0
13 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDLCLL
76
37
0
09 Jul 2020
Wandering Within a World: Online Contextualized Few-Shot Learning
Wandering Within a World: Online Contextualized Few-Shot Learning
Mengye Ren
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
CLL
82
32
0
09 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford
Aditya Kusupati
Keivan Alizadeh Vahid
Aaron Walsman
Aniruddha Kembhavi
Ali Farhadi
62
2
0
06 Jul 2020
On Class Orderings for Incremental Learning
On Class Orderings for Incremental Learning
Marc Masana
Bartlomiej Twardowski
Joost van de Weijer
CLL
63
15
0
04 Jul 2020
RSAC: Regularized Subspace Approximation Classifier for Lightweight
  Continuous Learning
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
Chih-Hsing Ho
Shang-Ho
S. Tsai
CLL
36
0
0
03 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno
Lucas May Petry
Lisa Di-Jorio
Stan Matwin
CLL
66
2
0
02 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
85
22
0
01 Jul 2020
Technical Report: Auxiliary Tuning and its Application to Conditional
  Text Generation
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation
Yoel Zeldes
Dan Padnos
Or Sharir
Barak Peleg
123
19
0
30 Jun 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
146
104
0
28 Jun 2020
Bookworm continual learning: beyond zero-shot learning and continual
  learning
Bookworm continual learning: beyond zero-shot learning and continual learning
Kai Wang
Luis Herranz
Anjan Dutta
Joost van de Weijer
VLMCLL
78
6
0
26 Jun 2020
Storing Encoded Episodes as Concepts for Continual Learning
Storing Encoded Episodes as Concepts for Continual Learning
Ali Ayub
Alan R. Wagner
CLL
70
13
0
26 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSLCLL
125
298
0
26 Jun 2020
OvA-INN: Continual Learning with Invertible Neural Networks
OvA-INN: Continual Learning with Invertible Neural Networks
Guillaume Hocquet
O. Bichler
D. Querlioz
BDLCLL
46
12
0
24 Jun 2020
Insights from the Future for Continual Learning
Insights from the Future for Continual Learning
Arthur Douillard
Eduardo Valle
Charles Ollion
Thomas Robert
Matthieu Cord
VLMCLL
77
11
0
24 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the
  Brain
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Xu Ji
Joao Henriques
Tinne Tuytelaars
Andrea Vedaldi
KELM
98
10
0
22 Jun 2020
Continual Learning in Recurrent Neural Networks
Continual Learning in Recurrent Neural Networks
Benjamin Ehret
Christian Henning
Maria R. Cervera
Alexander Meulemans
J. Oswald
Benjamin Grewe
CLL
86
9
0
22 Jun 2020
Semi-Discriminative Representation Loss for Online Continual Learning
Semi-Discriminative Representation Loss for Online Continual Learning
Yu Chen
Tom Diethe
Peter A. Flach
CLL
21
0
0
19 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie
James Harrison
Chelsea Finn
CLLOffRL
104
65
0
18 Jun 2020
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