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iCaRL: Incremental Classifier and Representation Learning

iCaRL: Incremental Classifier and Representation Learning

23 November 2016
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
    CLL
    OOD
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Papers citing "iCaRL: Incremental Classifier and Representation Learning"

50 / 735 papers shown
Title
Kaizen: Practical Self-supervised Continual Learning with Continual
  Fine-tuning
Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Cecilia Mascolo
Akhil Mathur
CLL
27
11
0
30 Mar 2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch
  Sampling
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling
Ethan Wisdom
Tejas Gokhale
Chaowei Xiao
Yezhou Yang
26
0
0
30 Mar 2023
How Efficient Are Today's Continual Learning Algorithms?
How Efficient Are Today's Continual Learning Algorithms?
Md Yousuf Harun
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
24
24
0
29 Mar 2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental
  Novel Class Discovery
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
Mingxuan Liu
Subhankar Roy
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
SSL
39
10
0
28 Mar 2023
Complementary Domain Adaptation and Generalization for Unsupervised
  Continual Domain Shift Learning
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning
Won-Yong Cho
Jinha Park
Taesup Kim
CLL
27
5
0
28 Mar 2023
CoDeC: Communication-Efficient Decentralized Continual Learning
CoDeC: Communication-Efficient Decentralized Continual Learning
Sakshi Choudhary
Sai Aparna Aketi
Gobinda Saha
Kaushik Roy
CLL
53
3
0
27 Mar 2023
Towards Open Temporal Graph Neural Networks
Towards Open Temporal Graph Neural Networks
Kaituo Feng
Changsheng Li
Xiaolu Zhang
Jun Zhou
AI4CE
30
15
0
27 Mar 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual
  Learning
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi
Mohammad Davar
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
CLL
42
35
0
26 Mar 2023
Robust Test-Time Adaptation in Dynamic Scenarios
Robust Test-Time Adaptation in Dynamic Scenarios
Longhui Yuan
Binhui Xie
Shuangliang Li
TTA
31
115
0
24 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
34
1
0
24 Mar 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning
Two-level Graph Network for Few-Shot Class-Incremental Learning
Hao Chen
Linyan Li
Fan Lyu
Fuyuan Hu
Zhenping Xia
Fenglei Xu
CLL
33
0
0
24 Mar 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical
  Images
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
Evelyn Chee
M. Lee
W. Hsu
CLL
13
7
0
24 Mar 2023
A Survey on Class Imbalance in Federated Learning
A Survey on Class Imbalance in Federated Learning
Jing Zhang
Chuanwen Li
Jianzgong Qi
Jiayuan He
FedML
47
13
0
21 Mar 2023
Assessor-Guided Learning for Continual Environments
Assessor-Guided Learning for Continual Environments
M. A. Ma'sum
Mahardhika Pratama
E. Lughofer
Weiping Ding
W. Jatmiko
36
13
0
21 Mar 2023
Confidence Attention and Generalization Enhanced Distillation for
  Continuous Video Domain Adaptation
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Xiyu Wang
Yuecong Xu
Jianfei Yang
Xiaoli Li
Zhenghua Chen
TTA
32
0
0
18 Mar 2023
Fixed Design Analysis of Regularization-Based Continual Learning
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
31
9
0
17 Mar 2023
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks
  in Continual Learning
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
Sang-Ho Kim
Lorenzo Noci
Antonio Orvieto
Thomas Hofmann
CLL
30
35
0
16 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
34
28
0
14 Mar 2023
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric
  Depth Estimation
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation
Junjie Hu
Chenyou Fan
Liguang Zhou
Qing Gao
Honghai Liu
Tin Lun Lam
27
2
0
09 Mar 2023
Centroid Distance Distillation for Effective Rehearsal in Continual
  Learning
Centroid Distance Distillation for Effective Rehearsal in Continual Learning
Daofeng Liu
Fan Lyu
Linyan Li
Zhenping Xia
Fuyuan Hu
27
4
0
06 Mar 2023
Continual Causal Inference with Incremental Observational Data
Continual Causal Inference with Incremental Observational Data
Zhixuan Chu
Ruopeng Li
S. Rathbun
Sheng Li
CML
43
15
0
03 Mar 2023
Incremental Learning of Acoustic Scenes and Sound Events
Incremental Learning of Acoustic Scenes and Sound Events
Manjunath Mulimani
A. Mesaros
CLL
27
6
0
28 Feb 2023
Foundation Model Drives Weakly Incremental Learning for Semantic
  Segmentation
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
Chaohui Yu
Qiang-feng Zhou
Jingliang Li
Jia-Chao Yuan
Zhibin Wang
Fan Wang
VLM
CLL
32
13
0
28 Feb 2023
Better Generative Replay for Continual Federated Learning
Better Generative Replay for Continual Federated Learning
Daiqing Qi
Handong Zhao
Sheng Li
FedML
27
47
0
25 Feb 2023
A Neural Span-Based Continual Named Entity Recognition Model
A Neural Span-Based Continual Named Entity Recognition Model
Yunan Zhang
Qingcai Chen
CLL
42
7
0
23 Feb 2023
Preventing Catastrophic Forgetting in Continual Learning of New Natural
  Language Tasks
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks
Sudipta Kar
Giuseppe Castellucci
Simone Filice
S. Malmasi
Oleg Rokhlenko
CLL
KELM
56
6
0
22 Feb 2023
On Handling Catastrophic Forgetting for Incremental Learning of Human
  Physical Activity on the Edge
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge
Jingwei Zuo
George Arvanitakis
Hakim Hacid
21
4
0
18 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Li Liu
CLL
39
7
0
12 Feb 2023
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental
  Fault Diagnosis under Limited Fault Data
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Peng Peng
Hanrong Zhang
Mengxuan Li
Gongzhuang Peng
Hongwei Wang
Nong Sang
CLL
19
8
0
12 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class
  Incremental Learning
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Yibo Yang
Haobo Yuan
Hefei Ling
Zhouchen Lin
Philip Torr
Dacheng Tao
CLL
39
98
0
06 Feb 2023
Continual Learning with Scaled Gradient Projection
Continual Learning with Scaled Gradient Projection
Gobinda Saha
Kaushik Roy
CLL
19
27
0
02 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out
  Properties
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han
Jian-wei Liu
CLL
40
7
0
02 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition
Learning Prototype Classifiers for Long-Tailed Recognition
Saurabh Sharma
Yongqin Xian
Ning Yu
Ambuj K. Singh
43
13
0
01 Feb 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
34
14
0
28 Jan 2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Cheng Ji
Jianxin Li
Hao Peng
Jia Wu
Xingcheng Fu
Qingyun Sun
Phillip S. Yu
SSL
CLL
31
5
0
28 Jan 2023
Streaming LifeLong Learning With Any-Time Inference
Streaming LifeLong Learning With Any-Time Inference
S. Banerjee
Vinay Kumar Verma
Vinay P. Namboodiri
CLL
35
3
0
27 Jan 2023
Towards Continual Egocentric Activity Recognition: A Multi-modal
  Egocentric Activity Dataset for Continual Learning
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning
Linfeng Xu
Qingbo Wu
Lili Pan
Fanman Meng
Hongliang Li
Chiyuan He
Hanxin Wang
Shaoxu Cheng
Yunshu Dai
EgoV
HAI
31
23
0
26 Jan 2023
DEJA VU: Continual Model Generalization For Unseen Domains
DEJA VU: Continual Model Generalization For Unseen Domains
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Tianlin Li
Qi Zhu
CLL
OOD
39
22
0
25 Jan 2023
Probabilistic Bilevel Coreset Selection
Probabilistic Bilevel Coreset Selection
Xiao Zhou
Renjie Pi
Weizhong Zhang
Yong Lin
Tong Zhang
NoLa
31
27
0
24 Jan 2023
Artificial Neuronal Ensembles with Learned Context Dependent Gating
Artificial Neuronal Ensembles with Learned Context Dependent Gating
M. Tilley
Michelle Miller
David J. Freedman
32
3
0
17 Jan 2023
Dataset Distillation: A Comprehensive Review
Dataset Distillation: A Comprehensive Review
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
55
121
0
17 Jan 2023
Self-recovery of memory via generative replay
Self-recovery of memory via generative replay
Zhenglong Zhou
Geshi Yeung
A. Schapiro
CLL
OffRL
32
1
0
15 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
37
93
0
14 Jan 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
49
88
0
13 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps
  Continual Learning
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
Seyyed Amirhossein Ameli Kalkhoran
Mohammadamin Banayeeanzade
Mahdi Samiei
M. Baghshah
BDL
CLL
31
0
0
11 Jan 2023
On Sequential Bayesian Inference for Continual Learning
On Sequential Bayesian Inference for Continual Learning
Samuel Kessler
Adam D. Cobb
Tim G. J. Rudner
S. Zohren
Stephen J. Roberts
CLL
BDL
64
6
0
04 Jan 2023
Saliency-Augmented Memory Completion for Continual Learning
Saliency-Augmented Memory Completion for Continual Learning
Guangji Bai
Chen Ling
Yuyang Gao
Liang Zhao
CLL
45
4
0
26 Dec 2022
Bridging Images and Videos: A Simple Learning Framework for Large
  Vocabulary Video Object Detection
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Sanghyun Woo
Kwanyong Park
Seoung Wug Oh
In So Kweon
Joon-Young Lee
VLM
VOS
28
6
0
20 Dec 2022
DSI++: Updating Transformer Memory with New Documents
DSI++: Updating Transformer Memory with New Documents
Sanket Vaibhav Mehta
Jai Gupta
Yi Tay
Mostafa Dehghani
Vinh Q. Tran
J. Rao
Marc Najork
Emma Strubell
Donald Metzler
CLL
34
39
0
19 Dec 2022
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental
  Learning
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
33
4
0
16 Dec 2022
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