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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 / 1,602 papers shown
Title
The Importance of Robust Features in Mitigating Catastrophic Forgetting
The Importance of Robust Features in Mitigating Catastrophic Forgetting
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
77
7
0
29 Jun 2023
Improving Online Continual Learning Performance and Stability with
  Temporal Ensembles
Improving Online Continual Learning Performance and Stability with Temporal Ensembles
Albin Soutif--Cormerais
Antonio Carta
Joost van de Weijer
CLL
95
12
0
29 Jun 2023
Few-Shot Continual Learning via Flat-to-Wide Approaches
Few-Shot Continual Learning via Flat-to-Wide Approaches
M. A. Ma'sum
Mahardhika Pratama
E. Lughofer
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
VLMCLL
92
4
0
26 Jun 2023
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion
C. K. Loo
W. S. Liew
S. Wermter
CLL
42
0
0
23 Jun 2023
Progressive Fourier Neural Representation for Sequential Video
  Compilation
Progressive Fourier Neural Representation for Sequential Video Compilation
Haeyong Kang
Jaehong Yoon
Dahyun Kim
Sung Ju Hwang
Chang D. Yoo
AI4TS
110
2
0
20 Jun 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Ye Wang
Yaxiong Wang
Guoshuai Zhao
Xueming Qian
CLL
83
1
0
19 Jun 2023
Partial Hypernetworks for Continual Learning
Partial Hypernetworks for Continual Learning
Hamed Hemati
Vincenzo Lomonaco
D. Bacciu
Damian Borth
CLL
78
7
0
19 Jun 2023
Regularizing with Pseudo-Negatives for Continual Self-Supervised
  Learning
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
Sungmin Cha
Kyunghyun Cho
Taesup Moon
BDLCLL
99
4
0
08 Jun 2023
Approximate Bayesian Class-Conditional Models under Continuous
  Representation Shift
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
Thomas L. Lee
Amos Storkey
BDL
86
4
0
30 May 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLMCLL
152
44
0
30 May 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired
  Continual Learning
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning
Mustafa Burak Gurbuz
J. M. Moorman
Constantinos Dovrolis
CLL
57
0
0
29 May 2023
DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes
DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes
Xilin Jiang
Yinghao Aaron Li
N. Mesgarani
CLL
45
1
0
29 May 2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
Tao Feng
Jie Zhang
Peizheng Wang
Zhijie Wang
Shengyuan Pang
DD
136
0
0
29 May 2023
HyperTime: Hyperparameter Optimization for Combating Temporal
  Distribution Shifts
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts
Shaokun Zhang
Yiran Wu
Zhonghua Zheng
Qingyun Wu
Chi Wang
OOD
95
8
0
28 May 2023
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation
  Study
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study
Yiqi Zhong
Xianming Liu
Deming Zhai
Junjun Jiang
Xiang Ji
AAML
34
2
0
28 May 2023
Fairness Continual Learning Approach to Semantic Scene Understanding in
  Open-World Environments
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
Thanh-Dat Truong
Hoang-Quan Nguyen
Bhiksha Raj
Khoa Luu
CLL
114
14
0
25 May 2023
SketchOGD: Memory-Efficient Continual Learning
SketchOGD: Memory-Efficient Continual Learning
Benjamin Wright
Youngjae Min
Jeremy Bernstein
Navid Azizan
CLL
192
0
0
25 May 2023
Lightweight Learner for Shared Knowledge Lifelong Learning
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge
Yuecheng Li
Di Wu
Ao Xu
Adam M. Jones
...
Gozde Sahin
Shuo Ni
Kiran Lekkala
Sumedh Anand Sontakke
Laurent Itti
CLL
81
12
0
24 May 2023
Continual Dialogue State Tracking via Example-Guided Question Answering
Continual Dialogue State Tracking via Example-Guided Question Answering
Hyundong Justin Cho
Andrea Madotto
Zhaojiang Lin
Khyathi Chandu
Satwik Kottur
Jing Xu
Jonathan May
Chinnadhurai Sankar
CLL
83
3
0
23 May 2023
Boosting Long-tailed Object Detection via Step-wise Learning on
  Smooth-tail Data
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data
Na Dong
Yongqiang Zhang
Mingli Ding
G. Lee
97
3
0
22 May 2023
Farewell to Aimless Large-scale Pretraining: Influential Subset
  Selection for Language Model
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Xiao Wang
Wei Zhou
Qi Zhang
Jie Zhou
Songyang Gao
Junzhe Wang
Menghan Zhang
Xiang Gao
Yunwen Chen
Tao Gui
129
10
0
22 May 2023
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Ali Ayub
Zachary De Francesco
Patrick Holthaus
Chrystopher L. Nehaniv
Kerstin Dautenhahn
CLLHAI
107
7
0
22 May 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial
  Networks
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks
Cat P. Le
Juncheng Dong
Ahmed Aloui
Vahid Tarokh
TTAGAN
67
1
0
19 May 2023
Online Continual Learning Without the Storage Constraint
Online Continual Learning Without the Storage Constraint
Ameya Prabhu
Zhipeng Cai
P. Dokania
Philip Torr
V. Koltun
Ozan Sener
CLL
172
32
0
16 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
98
4
0
13 May 2023
Continual Vision-Language Representation Learning with Off-Diagonal
  Information
Continual Vision-Language Representation Learning with Off-Diagonal Information
Zixuan Ni
Longhui Wei
Siliang Tang
Yueting Zhuang
Qi Tian
VLMCLL
118
26
0
11 May 2023
Improving Continual Relation Extraction by Distinguishing Analogous
  Semantics
Improving Continual Relation Extraction by Distinguishing Analogous Semantics
Wenzheng Zhao
Yuanning Cui
Wei Hu
CLL
66
20
0
11 May 2023
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on
  Wearable Medical Sensors
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
Chia-Hao Li
N. Jha
107
8
0
09 May 2023
On the Effectiveness of Equivariant Regularization for Robust Online
  Continual Learning
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Emanuele Frascaroli
Angelo Porrello
M. Pennisi
Giovanni Bellitto
S. Palazzo
C. Spampinato
Simone Calderara
CLL
60
3
0
05 May 2023
Evolving Dictionary Representation for Few-shot Class-incremental
  Learning
Evolving Dictionary Representation for Few-shot Class-incremental Learning
Xuejun Han
Yuhong Guo
CLL
69
0
0
03 May 2023
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D
  Object Detection
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection
Barza Nisar
Hruday Vishal Kanna Anand
Steven L. Waslander
79
1
0
27 Apr 2023
Evaluation of Regularization-based Continual Learning Approaches:
  Application to HAR
Evaluation of Regularization-based Continual Learning Approaches: Application to HAR
B. Kann
Sandra Castellanos-Paez
P. Lalanda
94
5
0
26 Apr 2023
eTag: Class-Incremental Learning with Embedding Distillation and
  Task-Oriented Generation
eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation
Libo Huang
Yan Zeng
Chuanguang Yang
Zhulin An
Boyu Diao
Yongjun Xu
CLL
103
2
0
20 Apr 2023
Taxonomic Class Incremental Learning
Taxonomic Class Incremental Learning
Yuzhao Chen
Zonghua Li
Zhiyuan Hu
Nuno Vasconcelos
CLL
79
3
0
12 Apr 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong
  Learning
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
Wenjin Wang
Yunqing Hu
Qianglong Chen
Yin Zhang
CLL
103
13
0
11 Apr 2023
Density Map Distillation for Incremental Object Counting
Density Map Distillation for Incremental Object Counting
Chenshen Wu
Joost van de Weijer
65
2
0
11 Apr 2023
Federated Incremental Semantic Segmentation
Federated Incremental Semantic Segmentation
Jiahua Dong
Duzhen Zhang
Yang Cong
Wei Cong
Henghui Ding
Dengxin Dai
FedML
83
42
0
10 Apr 2023
Asynchronous Federated Continual Learning
Asynchronous Federated Continual Learning
Donald Shenaj
Marco Toldo
Alberto Rigon
Pietro Zanuttigh
FedMLCLL
82
35
0
07 Apr 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
On the Stability-Plasticity Dilemma of Class-Incremental Learning
Dongwan Kim
Bohyung Han
CLL
58
52
0
04 Apr 2023
Knowledge Accumulation in Continually Learned Representations and the
  Issue of Feature Forgetting
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
Timm Hess
Eli Verwimp
Gido M. van de Ven
Tinne Tuytelaars
CLL
126
9
0
03 Apr 2023
Towards Adversarially Robust Continual Learning
Towards Adversarially Robust Continual Learning
Tao Bai
Chen Chen
Lingjuan Lyu
Jun Zhao
Bihan Wen
AAML
88
9
0
31 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
113
6
0
28 Mar 2023
Towards Open Temporal Graph Neural Networks
Towards Open Temporal Graph Neural Networks
Kaituo Feng
Changsheng Li
Xiaolu Zhang
Jun Zhou
AI4CE
87
16
0
27 Mar 2023
Forget-free Continual Learning with Soft-Winning SubNetworks
Forget-free Continual Learning with Soft-Winning SubNetworks
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
105
4
0
27 Mar 2023
Addressing the Challenges of Open-World Object Detection
Addressing the Challenges of Open-World Object Detection
David Pershouse
Feras Dayoub
Dimity Miller
Niko Sünderhauf
ObjD
54
3
0
27 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
Mong Li Lee
Wynne Hsu
CLL
44
7
0
24 Mar 2023
First Session Adaptation: A Strong Replay-Free Baseline for
  Class-Incremental Learning
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
A. Panos
Yuriko Kobe
Daniel Olmeda Reino
Rahaf Aljundi
Richard Turner
CLL
167
43
0
23 Mar 2023
AdaCL:Adaptive Continual Learning
AdaCL:Adaptive Continual Learning
Elif Ceren Gok
Murat Onur Yildirim
Mert Kilickaya
Joaquin Vanschoren
CLL
99
1
0
23 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
88
16
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
74
13
0
21 Mar 2023
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