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Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free
  Replay

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

22 July 2022
Huan Liu
Li Gu
Zhixiang Chi
Yang Wang
Yuanhao Yu
Jun Chen
Jingshan Tang
ArXivPDFHTML

Papers citing "Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay"

50 / 54 papers shown
Title
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
Renye Zhang
Yimin Yin
Jinghua Zhang
CLL
50
0
0
29 Apr 2025
Diffusion Meets Few-shot Class Incremental Learning
Diffusion Meets Few-shot Class Incremental Learning
Junsu Kim
Yunhoe Ku
Dongyoon Han
Seungryul Baek
DiffM
CLL
42
0
0
30 Mar 2025
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Jizhou Han
Chenhao Ding
Yuhang He
Songlin Dong
Qiang Wang
Xinyuan Gao
Yihong Gong
CLL
54
0
0
27 Mar 2025
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Xusheng Cao
Haori Lu
Linlan Huang
Fei Yang
Xialei Liu
Ming-Ming Cheng
CLL
KELM
55
0
0
24 Mar 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
Kamil Książek
Hubert Jastrzębski
Bartosz Trojan
Krzysztof Pniaczek
Michał Karp
Jacek Tabor
CLL
74
0
0
18 Mar 2025
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
Wanyi Li
Wei Wei
Yongkang Luo
Peng Wang
CLL
47
0
0
26 Feb 2025
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Igor Skrjanc
CLL
41
0
0
12 Feb 2025
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
Wenhao Gu
Li Gu
Ziqiang Wang
Ching Yee Suen
Yang Wang
49
0
0
22 Jan 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals
  via Representation Space Guided Inversion
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion
Chenqi Li
Boyan Gao
Gabriel Jones
Timothy Denison
Tingting Zhu
70
0
0
18 Dec 2024
Covariance-based Space Regularization for Few-shot Class Incremental
  Learning
Covariance-based Space Regularization for Few-shot Class Incremental Learning
Yijie Hu
Guanyu Yang
Zhaorui Tan
Xiaowei Huang
K. Huang
Qiu-Feng Wang
CLL
36
0
0
02 Nov 2024
CLOSER: Towards Better Representation Learning for Few-Shot
  Class-Incremental Learning
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
Junghun Oh
Sungyong Baik
Kyoung Mu Lee
CLL
34
3
0
08 Oct 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Cuiwei Liu
Siang Xu
Huaijun Qiu
Jing Zhang
Zhi Liu
Liang Zhao
CLL
32
0
0
18 Sep 2024
Vision-Language Navigation with Continual Learning
Vision-Language Navigation with Continual Learning
Zhiyuan Li
Yanfeng Lv
Ziqin Tu
Di Shang
Hong Qiao
32
2
0
04 Sep 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond
Towards Few-Shot Learning in the Open World: A Review and Beyond
Hui Xue
Yuexuan An
Yongchun Qin
Wenqian Li
Yixin Wu
Yongjuan Che
Pengfei Fang
Minling Zhang
OffRL
46
1
0
19 Aug 2024
How to Train the Teacher Model for Effective Knowledge Distillation
How to Train the Teacher Model for Effective Knowledge Distillation
Shayan Mohajer Hamidi
Xizhen Deng
Renhao Tan
Linfeng Ye
Ahmed H. Salamah
24
2
0
25 Jul 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic
  Online Data Streams
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang
Zhixiang Chi
Yanan Wu
Li Gu
Zhi Liu
Konstantinos Plataniotis
Yang Wang
OOD
TTA
36
2
0
16 Jul 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Yu-Ming Tang
Yi-Xing Peng
Jingke Meng
Wei-Shi Zheng
CLL
37
5
0
10 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for
  Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Bernard Ghanem
Liqiang Nie
Min Zhang
Mamba
36
5
0
08 Jul 2024
Data-Efficient and Robust Task Selection for Meta-Learning
Data-Efficient and Robust Task Selection for Meta-Learning
Donglin Zhan
James Anderson
OOD
19
2
0
11 May 2024
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot
  Class-Incremental Learning
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
Haichen Zhou
Yixiong Zou
Ruixuan Li
Yuhua Li
Kui Xiao
24
1
0
08 May 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
Adapting to Distribution Shift by Visual Domain Prompt Generation
Zhixiang Chi
Li Gu
Tao Zhong
Huan Liu
Yuanhao Yu
Konstantinos N Plataniotis
Yang Wang
VLM
OOD
31
7
0
05 May 2024
Few Shot Class Incremental Learning using Vision-Language models
Few Shot Class Incremental Learning using Vision-Language models
Anurag Kumar
Chinmay Bharti
Saikat Dutta
Srikrishna Karanam
Biplab Banerjee
VLM
CLL
25
0
0
02 May 2024
Generative Multi-modal Models are Good Class-Incremental Learners
Generative Multi-modal Models are Good Class-Incremental Learners
Xusheng Cao
Haori Lu
Linlan Huang
Xialei Liu
Ming-Ming Cheng
CLL
41
10
0
27 Mar 2024
A Bag of Tricks for Few-Shot Class-Incremental Learning
A Bag of Tricks for Few-Shot Class-Incremental Learning
Shuvendu Roy
Chunjong Park
Aldi Fahrezi
Ali Etemad
CLL
43
2
0
21 Mar 2024
Controllable Relation Disentanglement for Few-Shot Class-Incremental
  Learning
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
Yuanen Zhou
Richang Hong
Yanrong Guo
Lin Liu
Shijie Hao
Hanwang Zhang
18
0
0
17 Mar 2024
Select and Distill: Selective Dual-Teacher Knowledge Transfer for
  Continual Learning on Vision-Language Models
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
Yu-Chu Yu
Chi-Pin Huang
Jr-Jen Chen
Kai-Po Chang
Yung-Hsuan Lai
Fu-En Yang
Yu-Chiang Frank Wang
CLL
VLM
37
7
0
14 Mar 2024
Consistent Prompting for Rehearsal-Free Continual Learning
Consistent Prompting for Rehearsal-Free Continual Learning
Zhanxin Gao
Jun Cen
Xiaobin Chang
VLM
CLL
26
24
0
13 Mar 2024
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot
  Continual Learning
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning
Biqing Qi
Junqi Gao
Xingquan Chen
Dong Li
Jianxing Liu
Ligang Wu
Bowen Zhou
CLL
31
4
0
07 Mar 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental
  Learning
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
Songsong Tian
Lusi Li
Weijun Li
Hang Ran
Li Li
X. Ning
CLL
VLM
34
3
0
26 Jan 2024
Learning Prompt with Distribution-Based Feature Replay for Few-Shot
  Class-Incremental Learning
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
Zitong Huang
Ze Chen
Zhixing Chen
Erjin Zhou
Xinxing Xu
Rick Siow Mong Goh
Yong-Jin Liu
Wangmeng Zuo
Chun-Mei Feng
CLL
VLM
BDL
31
8
0
03 Jan 2024
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
27
2
0
19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
47
19
0
16 Dec 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
21
52
0
25 Sep 2023
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant
  Forgery Clues
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
Kun Pan
Yifang Yin
Yao Wei
Feng Lin
Zhongjie Ba
Zhenguang Liu
Zhibo Wang
Lorenzo Cavallaro
Kui Ren
CLL
38
16
0
18 Sep 2023
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental
  Learning
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning
In-Ug Yoon
Taehyean Choi
Sun-Kyung Lee
Young-Min Kim
Jong-Hwan Kim
CLL
21
6
0
06 Sep 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
Yanan Wu
Zhixiang Chi
Yang Wang
Songhe Feng
BDL
CLL
13
26
0
21 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
Xiangtai Li
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
Bernard Ghanem
CLL
27
8
0
03 Aug 2023
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental
  Learning
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning
In-Ug Yoon
Taehyean Choi
Young-Min Kim
Jong-Hwan Kim
CLL
11
2
0
26 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
11
0
0
03 May 2023
A Survey on Few-Shot Class-Incremental Learning
A Survey on Few-Shot Class-Incremental Learning
Song Tian
Lusi Li
Weijun Li
Hang Ran
X. Ning
Prayag Tiwari
CLL
26
100
0
17 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class
  Incremental Learning
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning
Anant Khandelwal
CLL
14
0
0
08 Apr 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for
  Few-Shot Class-Incremental Learning
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Zeyin Song
Yifan Zhao
Yujun Shi
Peixi Peng
Liuliang Yuan
Yonghong Tian
CLL
11
58
0
02 Apr 2023
Semantic-visual Guided Transformer for Few-shot Class-incremental
  Learning
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
Wen-Qiang Qiu
Sichao Fu
Jingyi Zhang
Chengxiang Lei
Qinmu Peng
27
11
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-Dong Yoo
CLL
31
4
0
27 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
26
1
0
24 Mar 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
Xiangtai Li
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
CLL
22
96
0
06 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
30
596
0
31 Jan 2023
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot
  Class-Incremental Learning
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning
Yawen Cui
Wanxia Deng
Haoyu Chen
Li Liu
CLL
11
24
0
24 Jan 2023
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
66
29
0
08 Oct 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of
  ORBIT Challenge 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022
Liming Gu
Zhixiang Chi
Huan Liu
Yuanhao Yu
Yang Wang
22
5
0
01 Oct 2022
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