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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 / 1,610 papers shown
Title
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
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLLBDL
109
142
0
03 Jan 2022
Revisiting Open World Object Detection
Revisiting Open World Object Detection
Xiaowei Zhao
Xianglong Liu
Yifan Shen
Yixuan Qiao
Yuqing Ma
Duorui Wang
140
52
0
03 Jan 2022
Relational Experience Replay: Continual Learning by Adaptively Tuning
  Task-wise Relationship
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Quanziang Wang
Renzhen Wang
Yuexiang Li
Dong Wei
Kai Ma
Yefeng Zheng
Deyu Meng
CLL
102
9
0
31 Dec 2021
Continually Learning Self-Supervised Representations with Projected
  Functional Regularization
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Alex Gomez-Villa
Bartlomiej Twardowski
Lu Yu
Andrew D. Bagdanov
Joost van de Weijer
CLLSSL
102
41
0
30 Dec 2021
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
K. Mangalam
Rohin Garg
GAN
64
13
0
29 Dec 2021
Towards Federated Learning on Time-Evolving Heterogeneous Data
Towards Federated Learning on Time-Evolving Heterogeneous Data
Yongxin Guo
Tao R. Lin
Xiaoying Tang
FedML
90
31
0
25 Dec 2021
Semantic Clustering based Deduction Learning for Image Recognition and
  Classification
Semantic Clustering based Deduction Learning for Image Recognition and Classification
Wenchi Ma
Xuemin Tu
Bo Luo
Guanghui Wang
81
29
0
25 Dec 2021
Graph Few-shot Class-incremental Learning
Graph Few-shot Class-incremental Learning
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
CLLGNN
84
60
0
23 Dec 2021
Continual learning of longitudinal health records
Continual learning of longitudinal health records
Jacob Armstrong
David Clifton
CLLKELM
64
15
0
22 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILMAAML
71
62
0
22 Dec 2021
Continual Learning with Knowledge Transfer for Sentiment Classification
Continual Learning with Knowledge Transfer for Sentiment Classification
Zixuan Ke
Bing-Quan Liu
Hao Wang
Lei Shu
CLL
95
31
0
18 Dec 2021
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke
Bing-Quan Liu
Xingchang Huang
CLL
71
125
0
18 Dec 2021
Distill and De-bias: Mitigating Bias in Face Verification using
  Knowledge Distillation
Distill and De-bias: Mitigating Bias in Face Verification using Knowledge Distillation
Prithviraj Dhar
Joshua Gleason
A. Roy
Carlos D. Castillo
P. Phillips
Ramalingam Chellappa
CVBM
60
7
0
17 Dec 2021
Effective prevention of semantic drift as angular distance in
  memory-less continual deep neural networks
Effective prevention of semantic drift as angular distance in memory-less continual deep neural networks
Khouloud Saadi
Muhammad Taimoor Khan
CLL
33
0
0
16 Dec 2021
An Empirical Investigation of the Role of Pre-training in Lifelong
  Learning
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta
Darshan Patil
Sarath Chandar
Emma Strubell
CLL
151
145
0
16 Dec 2021
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVPVLMKELMVLM
107
801
0
16 Dec 2021
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
Na Zhao
G. Lee
CLL
71
17
0
14 Dec 2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class
  Incremental Learning
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Yujun Shi
Kuangqi Zhou
Jian Liang
Zihang Jiang
Jiashi Feng
Philip Torr
Song Bai
Vincent Y. F. Tan
CLL
110
65
0
09 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDLCLLSSL
119
168
0
08 Dec 2021
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
96
30
0
06 Dec 2021
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Vivek Ramanujan
Pavan Kumar Anasosalu Vasu
Ali Farhadi
Oncel Tuzel
Hadi Pouransari
VLM
75
19
0
06 Dec 2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment
  Classification Tasks
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
Zixuan Ke
Hu Xu
Bing-Quan Liu
CLL
309
85
0
06 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment
  Classification Tasks
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
Zixuan Ke
Bing-Quan Liu
Hu Xu
Lei Shu
CLL
75
58
0
05 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
219
127
0
05 Dec 2021
Incremental Learning in Semantic Segmentation from Image Labels
Incremental Learning in Semantic Segmentation from Image Labels
Fabio Cermelli
Dario Fontanel
A. Tavera
Marco Ciccone
Barbara Caputo
VLMCLL
84
49
0
03 Dec 2021
Contrastive Continual Learning with Feature Propagation
Contrastive Continual Learning with Feature Propagation
Xuejun Han
Yuhong Guo
CLL
78
4
0
03 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
80
82
0
26 Nov 2021
Coarse-To-Fine Incremental Few-Shot Learning
Coarse-To-Fine Incremental Few-Shot Learning
Xiang Xiang
Yuwen Tan
Qian Wan
Jing Ma
CLL
90
12
0
24 Nov 2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
149
314
0
22 Nov 2021
Accretionary Learning with Deep Neural Networks
Accretionary Learning with Deep Neural Networks
Xinyu Wei
B. Juang
Ouya Wang
Shenglong Zhou
Geoffrey Ye Li
46
3
0
21 Nov 2021
GCR: Gradient Coreset Based Replay Buffer Selection For Continual
  Learning
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
Rishabh Tiwari
Krishnateja Killamsetty
Rishabh K. Iyer
Pradeep Shenoy
BDLCLL
75
140
0
18 Nov 2021
Continuous learning of spiking networks trained with local rules
Continuous learning of spiking networks trained with local rules
D. Antonov
K. Sviatov
S. Sukhov
62
13
0
18 Nov 2021
Self-Supervised Class Incremental Learning
Self-Supervised Class Incremental Learning
Zixuan Ni
Siliang Tang
Yueting Zhuang
CLL
68
6
0
18 Nov 2021
CoLLIE: Continual Learning of Language Grounding from Language-Image
  Embeddings
CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings
Gabriel Skantze
Bram Willemsen
VLM
70
14
0
15 Nov 2021
Target Layer Regularization for Continual Learning Using Cramer-Wold
  Generator
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
Marcin Mazur
Lukasz Pustelnik
Szymon Knop
Patryk Pagacz
Przemysław Spurek
60
2
0
15 Nov 2021
Continual Learning via Local Module Composition
Continual Learning via Local Module Composition
O. Ostapenko
Pau Rodríguez López
Massimo Caccia
Laurent Charlin
KELMCLL
119
67
0
15 Nov 2021
Interactive Medical Image Segmentation with Self-Adaptive Confidence
  Calibration
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
Wenhao Li
Qisen Xu
Chuyun Shen
Bin Hu
Fengping Zhu
Yuxin Li
Bo Jin
Xiangfeng Wang
95
5
0
15 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Peng Bao
Zonghai Chen
Ji-kai Wang
Deyun Dai
Hao Zhao
75
9
0
15 Nov 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot
  Image Recognition
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
Kai Wang
Xialei Liu
Andrew D. Bagdanov
Luis Herranz
Shang Rui
Joost van de Weijer
CLLVLM
93
9
0
09 Nov 2021
A Unified Approach to Coreset Learning
A Unified Approach to Coreset Learning
Alaa Maalouf
Gilad Eini
Ben Mussay
Dan Feldman
Margarita Osadchy
DD
75
18
0
04 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by
  Finding Flat Minima
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan Shi
Jiaxin Chen
Wenlong Zhang
Li-Ming Zhan
Xiao-Ming Wu
CLL
181
160
0
30 Oct 2021
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for
  Incremental Object Detection
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
Na Dong
Yongqiang Zhang
M. Ding
G. Lee
CLL
61
24
0
28 Oct 2021
Provable Lifelong Learning of Representations
Provable Lifelong Learning of Representations
Xinyuan Cao
Weiyang Liu
Santosh Vempala
CLL
71
16
0
27 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution
  Detection: Solutions and Future Challenges
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi
Hossein Mirzaei
Dan Hendrycks
Yixuan Li
M. Rohban
Mohammad Sabokrou
OOD
167
199
0
26 Oct 2021
Mixture-of-Variational-Experts for Continual Learning
Mixture-of-Variational-Experts for Continual Learning
Y. Yin
Yu Wang
CLLFedML
59
6
0
25 Oct 2021
Multi-Domain Incremental Learning for Semantic Segmentation
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg
Rohit Saluja
V. Balasubramanian
Chetan Arora
A. Subramanian
C. V. Jawahar
CLL
104
36
0
23 Oct 2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning
AFEC: Active Forgetting of Negative Transfer in Continual Learning
John Giorgi
Mingtian Zhang
Zhongfan Jia
Qian Li
Chenglong Bao
Kaisheng Ma
Jun Zhu
Yi Zhong
CLL
85
85
0
23 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
114
4
0
21 Oct 2021
Class Incremental Online Streaming Learning
Class Incremental Online Streaming Learning
S. Banerjee
Vinay Kumar Verma
T. Parag
M. Singh
Vinay P. Namboodiri
CLL
51
4
0
20 Oct 2021
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