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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
ConDA: Continual Unsupervised Domain Adaptation
ConDA: Continual Unsupervised Domain Adaptation
A. M. N. Taufique
C. S. Jahan
Andreas E. Savakis
TTACLL
110
10
0
19 Mar 2021
Online Lifelong Generalized Zero-Shot Learning
Online Lifelong Generalized Zero-Shot Learning
C. Gautam
S. Parameswaran
Ashish Mishra
Suresh Sundaram
CLL
109
9
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
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias
  in Facial Expression and Action Unit Recognition
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
Ozgur Kara
Nikhil Churamani
Hatice Gunes
29
12
0
15 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
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and
  Disentangled Latent Representations
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Umberto Michieli
Pietro Zanuttigh
CLL
105
140
0
10 Mar 2021
Incremental Learning for Multi-organ Segmentation with Partially Labeled
  Datasets
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets
Pengbo Liu
Li Xiao
S. Kevin Zhou
CLL
51
12
0
08 Mar 2021
Learning to Continually Learn Rapidly from Few and Noisy Data
Learning to Continually Learn Rapidly from Few and Noisy Data
N. Kuo
Mehrtash Harandi
Nicolas Fourrier
Christian J. Walder
Gabriela Ferraro
H. Suominen
CLLKELM
33
4
0
06 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
  Learning
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
A. Cheraghian
Shafin Rahman
Pengfei Fang
S. Roy
L. Petersson
Mehrtash Harandi
CLL
144
186
0
06 Mar 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial
  Networks
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
Sakshi Varshney
Vinay Kumar Verma
K. SrijithP.
Lawrence Carin
Piyush Rai
GANCLL
69
21
0
06 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
85
20
0
06 Mar 2021
Towards Open World Object Detection
Towards Open World Object Detection
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
116
464
0
03 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
CML
268
177
0
02 Mar 2021
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLLBDL
117
60
0
01 Mar 2021
Few-Shot Lifelong Learning
Few-Shot Lifelong Learning
Pratik Mazumder
Pravendra Singh
Piyush Rai
CLL
80
122
0
01 Mar 2021
Deepfakes Generation and Detection: State-of-the-art, open challenges,
  countermeasures, and way forward
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
Momina Masood
M. Nawaz
K. Malik
A. Javed
Aun Irtaza
AAML
202
323
0
25 Feb 2021
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot
  Learning
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning
Vinay Kumar Verma
Kevin J. Liang
Nikhil Mehta
Lawrence Carin
CLLVLM
95
5
0
23 Feb 2021
Understanding Catastrophic Forgetting and Remembering in Continual
  Learning with Optimal Relevance Mapping
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
60
71
0
22 Feb 2021
Continual Learning for Blind Image Quality Assessment
Continual Learning for Blind Image Quality Assessment
Weixia Zhang
Dingquan Li
Chao Ma
Guangtao Zhai
Xiaokang Yang
Kede Ma
VLM
90
90
0
19 Feb 2021
Essentials for Class Incremental Learning
Essentials for Class Incremental Learning
Sudhanshu Mittal
Silvio Galesso
Thomas Brox
CLL
67
98
0
18 Feb 2021
Dataset Condensation with Differentiable Siamese Augmentation
Dataset Condensation with Differentiable Siamese Augmentation
Bo Zhao
Hakan Bilen
DD
273
305
0
16 Feb 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
Idan Achituve
Aviv Navon
Yochai Yemini
Gal Chechik
Ethan Fetaya
GP
64
34
0
15 Feb 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
68
13
0
15 Feb 2021
Continuum: Simple Management of Complex Continual Learning Scenarios
Continuum: Simple Management of Complex Continual Learning Scenarios
Arthur Douillard
Timothée Lesort
70
38
0
11 Feb 2021
Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual
  Learning
Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning
Joel Joseph
Alex Gu
CLL
64
62
0
11 Feb 2021
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic
  Forgetting
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
V. Kurmi
Badri N. Patro
Venkatesh Subramanian
Vinay P. Namboodiri
108
22
0
03 Feb 2021
Self-Attention Meta-Learner for Continual Learning
Self-Attention Meta-Learner for Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
53
11
0
28 Jan 2021
Generalising via Meta-Examples for Continual Learning in the Wild
Generalising via Meta-Examples for Continual Learning in the Wild
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Andrea Passerini
CLL
50
2
0
28 Jan 2021
Continual Learning of Visual Concepts for Robots through Limited
  Supervision
Continual Learning of Visual Concepts for Robots through Limited Supervision
Ali Ayub
Alan R. Wagner
CLL
22
2
0
26 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
140
422
0
25 Jan 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its
  Own Replay Buffer
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
James Smith
Jonathan C. Balloch
Yen-Chang Hsu
Z. Kira
CLL
190
38
0
23 Jan 2021
Continual Learning of Generative Models with Limited Data: From
  Wasserstein-1 Barycenter to Adaptive Coalescence
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
M. Dedeoglu
Sen Lin
Zhaofeng Zhang
Junshan Zhang
89
1
0
22 Jan 2021
Generative Replay-based Continual Zero-Shot Learning
Generative Replay-based Continual Zero-Shot Learning
C. Gautam
S. Parameswaran
Ashish Mishra
Suresh Sundaram
CLLVLM
65
8
0
22 Jan 2021
Knowledge-Preserving Incremental Social Event Detection via
  Heterogeneous GNNs
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
Dongyuan Li
Hao Peng
Hongzhi Zhang
Yingtong Dou
Jianxin Li
Philip S. Yu
82
98
0
21 Jan 2021
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape
  Reconstruction
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction
Anh Thai
Stefan Stojanov
Zixuan Huang
Isaac Rehg
James M. Rehg
CLL
77
0
0
18 Jan 2021
Incremental Knowledge Based Question Answering
Incremental Knowledge Based Question Answering
Chak Tou Leong
Wenjie Li
Liqiang Nie
CLL
48
1
0
18 Jan 2021
Learning Invariant Representation for Continual Learning
Learning Invariant Representation for Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
BDLCLL
69
16
0
15 Jan 2021
Mining Data Impressions from Deep Models as Substitute for the
  Unavailable Training Data
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data
Gaurav Kumar Nayak
Konda Reddy Mopuri
Saksham Jain
Anirban Chakraborty
68
14
0
15 Jan 2021
EEC: Learning to Encode and Regenerate Images for Continual Learning
EEC: Learning to Encode and Regenerate Images for Continual Learning
Ali Ayub
Alan R. Wagner
CLL
113
59
0
13 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Xueting Zhang
Debin Meng
Henry Gouk
Timothy M. Hospedales
BDLUQCV
114
72
0
08 Jan 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Tongtong Wu
Xuekai Li
Yuan-Fang Li
Reza Haffari
Guilin Qi
Yujin Zhu
Guoqiang Xu
CLL
126
70
0
06 Jan 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for
  Semi-supervised Continual Learning
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning
Liyuan Wang
Kuo Yang
Chongxuan Li
Lanqing Hong
Zhenguo Li
Jun Zhu
CLLBDL
102
83
0
02 Jan 2021
Incremental Embedding Learning via Zero-Shot Translation
Incremental Embedding Learning via Zero-Shot Translation
Kun-Juan Wei
Cheng Deng
Xu Yang
Maosen Li
CLL
84
22
0
31 Dec 2020
SID: Incremental Learning for Anchor-Free Object Detection via Selective
  and Inter-Related Distillation
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation
Can Peng
Kun-li Zhao
Sam Maksoud
Meng Li
Brian C. Lovell
CLLObjD
82
47
0
31 Dec 2020
Towards a category-extended object detector with limited data
Towards a category-extended object detector with limited data
Bowen Zhao
Chen Chen
Xi Xiao
Shutao Xia
ObjD
88
2
0
28 Dec 2020
IIRC: Incremental Implicitly-Refined Classification
IIRC: Incremental Implicitly-Refined Classification
Mohamed Abdelsalam
Mojtaba Faramarzi
Shagun Sodhani
A. Chandar
CLL
69
29
0
23 Dec 2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute
  Servers
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj
Zhengxu Xia
Ganesh Ananthanarayanan
Junchen Jiang
Nikolaos Karianakis
Yuanchao Shu
Kevin Hsieh
P. Bahl
Ion Stoica
79
169
0
19 Dec 2020
Continual Lifelong Learning in Natural Language Processing: A Survey
Continual Lifelong Learning in Natural Language Processing: A Survey
Magdalena Biesialska
Katarzyna Biesialska
Marta R. Costa-jussá
KELMCLL
100
222
0
17 Dec 2020
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