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1611.07725
Cited By
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
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
Ethan Wisdom
Tejas Gokhale
Chaowei Xiao
Yezhou Yang
26
0
0
30 Mar 2023
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
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
Won-Yong Cho
Jinha Park
Taesup Kim
CLL
27
5
0
28 Mar 2023
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
Kaituo Feng
Changsheng Li
Xiaolu Zhang
Jun Zhou
AI4CE
30
15
0
27 Mar 2023
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
Longhui Yuan
Binhui Xie
Shuangliang Li
TTA
31
115
0
24 Mar 2023
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
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
Evelyn Chee
M. Lee
W. Hsu
CLL
13
7
0
24 Mar 2023
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
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
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
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
Sang-Ho Kim
Lorenzo Noci
Antonio Orvieto
Thomas Hofmann
CLL
30
35
0
16 Mar 2023
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
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
Daofeng Liu
Fan Lyu
Linyan Li
Zhenping Xia
Fuyuan Hu
27
4
0
06 Mar 2023
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
Manjunath Mulimani
A. Mesaros
CLL
27
6
0
28 Feb 2023
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
Daiqing Qi
Handong Zhao
Sheng Li
FedML
27
47
0
25 Feb 2023
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
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
Jingwei Zuo
George Arvanitakis
Hakim Hacid
21
4
0
18 Feb 2023
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
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
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
Gobinda Saha
Kaushik Roy
CLL
19
27
0
02 Feb 2023
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
Saurabh Sharma
Yongqin Xian
Ning Yu
Ambuj K. Singh
43
13
0
01 Feb 2023
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
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
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
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
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Tianlin Li
Qi Zhu
CLL
OOD
39
22
0
25 Jan 2023
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
M. Tilley
Michelle Miller
David J. Freedman
32
3
0
17 Jan 2023
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
Zhenglong Zhou
Geshi Yeung
A. Schapiro
CLL
OffRL
32
1
0
15 Jan 2023
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
Shiye Lei
Dacheng Tao
DD
49
88
0
13 Jan 2023
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
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
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
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
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
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
33
4
0
16 Dec 2022
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