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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 / 706 papers shown
Title
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
27
3
0
20 Dec 2023
Continual Adversarial Defense
Continual Adversarial Defense
Qian Wang
Yaoyao Liu
Hefei Ling
Yingwei Li
Qihao Liu
Ping Li
AAML
64
3
0
15 Dec 2023
Class-Wise Buffer Management for Incremental Object Detection: An
  Effective Buffer Training Strategy
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy
Junsu Kim
Sumin Hong
Chanwoo Kim
Jihyeon Kim
Yihalem Yimolal Tiruneh
Jeongwan On
Jihyun Song
Sunhwa Choi
Seungryul Baek
15
3
0
14 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
35
7
0
13 Dec 2023
Continual Learning through Networks Splitting and Merging with
  Dreaming-Meta-Weighted Model Fusion
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion
Yi Sun
Xin Xu
Jian Li
Guanglei Xie
Yifei Shi
Qiang Fang
CLL
MoMe
34
1
0
12 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
21
0
0
06 Dec 2023
Using Curiosity for an Even Representation of Tasks in Continual Offline
  Reinforcement Learning
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
Pathmanathan Pankayaraj
Natalia Díaz Rodríguez
Javier Del Ser
CLL
OffRL
38
0
0
05 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for
  Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Alan Yuille
DiffM
VLM
38
1
0
30 Nov 2023
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
Thanh-Dat Truong
Utsav Prabhu
Bhiksha Raj
Jackson Cothren
Khoa Luu
CLL
40
3
0
27 Nov 2023
CUCL: Codebook for Unsupervised Continual Learning
CUCL: Codebook for Unsupervised Continual Learning
Chen Cheng
Jingkuan Song
Xiaosu Zhu
Junchen Zhu
Lianli Gao
H. Shen
CLL
25
2
0
25 Nov 2023
Continual Referring Expression Comprehension via Dual Modular
  Memorization
Continual Referring Expression Comprehension via Dual Modular Memorization
Hengtao Shen
Cheng Chen
Peng Wang
Lianli Gao
Ming Wang
Jingkuan Song
ObjD
38
3
0
25 Nov 2023
Continual Learning of Diffusion Models with Generative Distillation
Continual Learning of Diffusion Models with Generative Distillation
Sergi Masip
Pau Rodriguez
Tinne Tuytelaars
Gido M. van de Ven
VLM
DiffM
36
8
0
23 Nov 2023
Density Distribution-based Learning Framework for Addressing Online
  Continual Learning Challenges
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges
Shilin Zhang
Jiahui Wang
CLL
32
0
0
22 Nov 2023
Prompt Pool based Class-Incremental Continual Learning for Dialog State
  Tracking
Prompt Pool based Class-Incremental Continual Learning for Dialog State Tracking
Hong Liu
Yucheng Cai
Yuan Zhou
Zhijian Ou
Yi Huang
Junlan Feng
CLL
27
2
0
17 Nov 2023
Online Continual Knowledge Learning for Language Models
Online Continual Knowledge Learning for Language Models
Yuhao Wu
Tongjun Shi
Karthick Sharma
Chun Seah
Shuhao Zhang
CLL
KELM
30
4
0
16 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What
  to Optimize, But Also How
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
44
7
0
08 Nov 2023
Continual atlas-based segmentation of prostate MRI
Continual atlas-based segmentation of prostate MRI
Amin Ranem
Camila González
Daniel Pinto dos Santos
Andreas M. Bucher
Ahmed Othman
Anirban Mukhopadhyay
25
4
0
01 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu
Xusheng Cao
Haori Lu
Jia-Wen Xiao
Andrew D. Bagdanov
Ming-Ming Cheng
VLM
30
12
0
31 Oct 2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic
  Forgetting in Curiosity
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Jaedong Hwang
Zhang-Wei Hong
Eric Chen
Akhilan Boopathy
Pulkit Agrawal
Ila Fiete
CLL
46
5
0
26 Oct 2023
Coordinated Replay Sample Selection for Continual Federated Learning
Coordinated Replay Sample Selection for Continual Federated Learning
Jack Good
Jimit Majmudar
Christophe Dupuy
Jixuan Wang
Charith Peris
Clement Chung
Richard Zemel
Rahul Gupta
25
2
0
23 Oct 2023
Continual Named Entity Recognition without Catastrophic Forgetting
Continual Named Entity Recognition without Catastrophic Forgetting
Duzhen Zhang
Wei Cong
Jiahua Dong
Yahan Yu
Xiuyi Chen
Yonggang Zhang
Zhen Fang
28
10
0
23 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Haizhou Shi
Hao Wang
CLL
34
19
0
18 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
29
3
0
17 Oct 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and
  Open-world Intent Recognition
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
Xiaoshuai Song
Yutao Mou
Keqing He
Yueyan Qiu
Pei Wang
Weiran Xu
25
2
0
16 Oct 2023
Diversifying the Mixture-of-Experts Representation for Language Models
  with Orthogonal Optimizer
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
Boan Liu
Liang Ding
Li Shen
Keqin Peng
Yu Cao
Dazhao Cheng
Dacheng Tao
MoE
36
7
0
15 Oct 2023
Federated Class-Incremental Learning with Prompting
Federated Class-Incremental Learning with Prompting
Jiale Liu
Yu-Wei Zhan
Chong-Yu Zhang
Xin Luo
Zhen-Duo Chen
Yinwei Wei
CLL
FedML
29
2
0
13 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for
  Incremental Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
48
21
0
10 Oct 2023
Improving Summarization with Human Edits
Improving Summarization with Human Edits
Zonghai Yao
Benjamin J Schloss
Sai P. Selvaraj
29
3
0
09 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
46
60
0
29 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Yew-Soon Ong
CLL
45
0
0
26 Sep 2023
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
Niki van Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
32
10
0
21 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
113
27
0
13 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
33
8
0
12 Sep 2023
Rotation Augmented Distillation for Exemplar-Free Class Incremental
  Learning with Detailed Analysis
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis
Xiu-yan Chen
Xiaobin Chang
CLL
31
0
0
29 Aug 2023
Online Continual Learning on Hierarchical Label Expansion
Online Continual Learning on Hierarchical Label Expansion
Byung Hyun Lee
Ok-Cheol Jung
Jonghyun Choi
S. Chun
CLL
36
8
0
28 Aug 2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Dual Compensation Residual Networks for Class Imbalanced Learning
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
30
5
0
25 Aug 2023
Category Adaptation Meets Projected Distillation in Generalized
  Continual Category Discovery
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rype'sć
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
VLM
CLL
35
2
0
23 Aug 2023
A Comprehensive Empirical Evaluation on Online Continual Learning
A Comprehensive Empirical Evaluation on Online Continual Learning
Albin Soutif--Cormerais
Antonio Carta
Andrea Cossu
J. Hurtado
Hamed Hemati
Vincenzo Lomonaco
Joost van de Weijer
CLL
31
20
0
20 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in
  Vision Transformers
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
Thomas De Min
Massimiliano Mancini
Alahari Karteek
Xavier Alameda-Pineda
Elisa Ricci
CLL
29
9
0
18 Aug 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for
  Generalized Class Incremental Learning
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
27
0
0
13 Aug 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
16
13
0
11 Aug 2023
Continual Pre-Training of Large Language Models: How to (re)warm your
  model?
Continual Pre-Training of Large Language Models: How to (re)warm your model?
Kshitij Gupta
Benjamin Thérien
Adam Ibrahim
Mats L. Richter
Quentin G. Anthony
Eugene Belilovsky
Irina Rish
Timothée Lesort
KELM
35
99
0
08 Aug 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
26
19
0
07 Aug 2023
Environment-Invariant Curriculum Relation Learning for Fine-Grained
  Scene Graph Generation
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
Yu Min
Aming Wu
Cheng Deng
30
6
0
07 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Hefei Ling
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip Torr
Dacheng Tao
Guohao Li
CLL
31
8
0
03 Aug 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLL
OnRL
33
39
0
01 Aug 2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in
  Robotics
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
Ali Ayub
Alan R. Wagner
CLL
29
4
0
31 Jul 2023
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
Kaushik Roy
Peyman Moghadam
Mehrtash Harandi
30
6
0
31 Jul 2023
Self-paced Weight Consolidation for Continual Learning
Self-paced Weight Consolidation for Continual Learning
Wei Cong
Yang Cong
Gan Sun
Yuyang Liu
Jiahua Dong
CLL
29
14
0
20 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
31
9
0
19 Jul 2023
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