ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.17030
  4. Cited By
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks

Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks

31 March 2022
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
    CLL
ArXivPDFHTML

Papers citing "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks"

50 / 75 papers shown
Title
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Linhao Li
Yongzhang Tan
Siyuan Yang
Hao Cheng
Yongfeng Dong
Liang Yang
CLL
47
0
0
15 Apr 2025
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning
Kyle Stein
A. Mahyari
Guillermo Francia III
Eman El-Sheikh
CLL
65
0
0
11 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
An experimental approach on Few Shot Class Incremental Learning
Marinela Adam
CLL
54
0
0
14 Mar 2025
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound
Shiwon Kim
Dongjun Hwang
Sungwon Woo
Rita Singh
CLL
52
0
0
13 Mar 2025
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
Chengqi Zheng
Haiyan Yin
Jianda Chen
Terence Ng
Yew-Soon Ong
Ivor Tsang
CLL
143
0
0
07 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
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Parinita Nema
V. Kurmi
CLL
58
0
0
17 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
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental
  Learning
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
Chengyan Liu
Linglan Zhao
Fan Lyu
Kaile Du
Fuyuan Hu
Tao Zhou
CLL
78
0
0
17 Dec 2024
Class Balance Matters to Active Class-Incremental Learning
Class Balance Matters to Active Class-Incremental Learning
Zitong Huang
Z. Chen
Yuanze Li
Bowen Dong
Erjin Zhou
Y. Liu
Rick Siow Mong Goh
Chun-Mei Feng
W. Zuo
CLL
71
0
0
09 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
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
48
1
0
19 Aug 2024
Distribution-Level Memory Recall for Continual Learning: Preserving
  Knowledge and Avoiding Confusion
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion
Shaoxu Cheng
Kanglei Geng
Chiyuan He
Zihuan Qiu
Linfeng Xu
Heqian Qiu
Lanxiao Wang
Qingbo Wu
Fanman Meng
Hongliang Li
CLL
24
0
0
04 Aug 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
38
5
0
08 Jul 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
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental
  Learning with Pre-trained Vision Transformers
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
Dipam Goswami
Bartlomiej Twardowski
J. Weijer
42
4
0
09 Apr 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental
  Learners
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
Keon-Hee Park
Kyungwoo Song
Gyeong-Moon Park
VLM
CLL
35
16
0
02 Apr 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for
  Few-Shot Class-Incremental Learning
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
Noor Ahmed
Anna Kukleva
Bernt Schiele
CLL
32
12
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
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Chen Lu
Guangcan Liu
CLL
32
2
0
19 Mar 2024
NTK-Guided Few-Shot Class Incremental Learning
NTK-Guided Few-Shot Class Incremental Learning
Jingren Liu
Zhong Ji
Yanwei Pang
Yunlong Yu
CLL
34
3
0
19 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
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
Yoga Esa Wibowo
Cristian Cioflan
T. Ingolfsson
Michael Hersche
Leo Zhao
Abbas Rahimi
Luca Benini
CLL
37
1
0
12 Mar 2024
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning
  for Fine-Grained Datasets
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets
T. Doan
Sima Behpour
Xin Li
Wenbin He
Liangke Gou
Liu Ren
VLM
38
1
0
10 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
Few-Shot Class-Incremental Learning via Training-Free Prototype
  Calibration
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
Qiwen Wang
Da-Wei Zhou
Yi-Kai Zhang
De-Chuan Zhan
Han-Jia Ye
CLL
37
44
0
08 Dec 2023
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for
  Systematic Input Recognition
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition
Guangming Zhu
Siyuan Wang
Qing Cheng
Kelong Wu
Hao Li
Liang Zhang
26
2
0
30 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey
When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son
Soochan Lee
Gunhee Kim
OOD
CLL
32
10
0
09 Nov 2023
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental
  Learning
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning
Fuyuan Hu
Jian Zhang
Fan Lyu
Linyan Li
Fenglei Xu
CLL
18
3
0
31 Oct 2023
ProtoNER: Few shot Incremental Learning for Named Entity Recognition
  using Prototypical Networks
ProtoNER: Few shot Incremental Learning for Named Entity Recognition using Prototypical Networks
Ritesh Kumar
Saurabh Goyal
Ashish Verma
Vatche Isahagian
8
3
0
03 Oct 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
Y. Ong
CLL
37
0
0
26 Sep 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
27
52
0
25 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
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
31
8
0
03 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
29
47
0
16 Jul 2023
Multimodal Prompt Learning for Product Title Generation with Extremely
  Limited Labels
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
Bang-ju Yang
Fenglin Liu
Zheng Li
Qingyu Yin
Chenyu You
Bing Yin
Yuexian Zou
VLM
33
5
0
05 Jul 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
19
2
0
26 May 2023
Deep Lifelong Cross-modal Hashing
Deep Lifelong Cross-modal Hashing
Liming Xu
Hanqi Li
Bochuan Zheng
Weisheng Li
Jiancheng Lv
CLL
9
0
0
26 Apr 2023
A Forward and Backward Compatible Framework for Few-shot
  Class-incremental Pill Recognition
A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition
Jinghua Zhang
Li Liu
Kai Gao
Dewen Hu
CLL
MedIm
21
4
0
24 Apr 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
Preserving Locality in Vision Transformers for Class Incremental
  Learning
Preserving Locality in Vision Transformers for Class Incremental Learning
Bowen Zheng
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
19
5
0
14 Apr 2023
Few-shot Class-incremental Learning for Cross-domain Disease
  Classification
Few-shot Class-incremental Learning for Cross-domain Disease Classification
Han Yang
Weijian Huang
Jiarun Liu
Cheng Li
Shanshan Wang
CLL
29
4
0
12 Apr 2023
12
Next