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Co-Transport for Class-Incremental Learning

Co-Transport for Class-Incremental Learning

27 July 2021
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
    CLL
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Papers citing "Co-Transport for Class-Incremental Learning"

31 / 31 papers shown
Title
Parameter-Efficient Continual Fine-Tuning: A Survey
Parameter-Efficient Continual Fine-Tuning: A Survey
Eric Nuertey Coleman
Luigi Quarantiello
Ziyue Liu
Qinwen Yang
Samrat Mukherjee
J. Hurtado
Vincenzo Lomonaco
CLL
29
0
0
18 Apr 2025
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Chao Qi
Jianqin Yin
Meng Chen
Yingchun Niu
Yuan Sun
3DPC
CLL
48
0
0
11 Apr 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
J. Guo
Xiaoguang Zhu
Xiaoguang Zhu
Lianlong Sun
Liangyu Teng
Yang Liu
Di Li
Wei Zhou
Liang Song
CLL
VLM
59
1
0
24 Mar 2025
iManip: Skill-Incremental Learning for Robotic Manipulation
Zexin Zheng
Jia-Feng Cai
Xiao-Ming Wu
Yi-Lin Wei
Yu-Ming Tang
Wei-Shi Zheng
CLL
54
0
0
10 Mar 2025
Joint Input and Output Coordination for Class-Incremental Learning
Joint Input and Output Coordination for Class-Incremental Learning
Shuai Wang
Yibing Zhan
Yong Luo
Han Hu
Wei Yu
Yonggang Wen
Dacheng Tao
CLL
37
2
0
09 Sep 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
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment
  and Parameter Fusion
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang
Xusheng Cao
Haori Lu
Xialei Liu
CLL
40
11
0
19 Jul 2024
Addressing Imbalance for Class Incremental Learning in Medical Image
  Classification
Addressing Imbalance for Class Incremental Learning in Medical Image Classification
Xuze Hao
Wenqian Ni
Xuhao Jiang
Weimin Tan
Bo Yan
CLL
27
0
0
18 Jul 2024
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning
  Perspective
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
Leyuan Wang
Liuyu Xiang
Yunlong Wang
Huijia Wu
Zhaofeng He
CLL
27
0
0
24 May 2024
Towards Meta-Pruning via Optimal Transport
Towards Meta-Pruning via Optimal Transport
Alexander Theus
Olin Geimer
Friedrich Wicke
Thomas Hofmann
Sotiris Anagnostidis
Sidak Pal Singh
MoMe
24
3
0
12 Feb 2024
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
24
3
0
31 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
Transformer Fusion with Optimal Transport
Transformer Fusion with Optimal Transport
Moritz Imfeld
Jacopo Graldi
Marco Giordano
Thomas Hofmann
Sotiris Anagnostidis
Sidak Pal Singh
ViT
MoMe
32
16
0
09 Oct 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
29
52
0
25 Sep 2023
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly
  Supervised Object Localization
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization
Sejin Park
Taehyung Lee
Yeejin Lee
Byeongkeun Kang
WSOL
CLL
39
4
0
17 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
108
27
0
13 Sep 2023
Class Incremental Learning with Self-Supervised Pre-Training and
  Prototype Learning
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSL
CLL
39
11
0
04 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
Class-Incremental Exemplar Compression for Class-Incremental Learning
Class-Incremental Exemplar Compression for Class-Incremental Learning
Zilin Luo
Yaoyao Liu
Bernt Schiele
Qianru Sun
VLM
CLL
91
44
0
24 Mar 2023
AdaCL:Adaptive Continual Learning
AdaCL:Adaptive Continual Learning
Elif Ceren Gok
Murat Onur Yildirim
Mert Kilickaya
Joaquin Vanschoren
CLL
44
1
0
23 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
33
99
0
13 Mar 2023
Benchmarking Deepart Detection
Benchmarking Deepart Detection
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
33
11
0
28 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out
  Properties
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han
Jian-wei Liu
CLL
38
7
0
02 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
38
601
0
31 Jan 2023
Anti-Retroactive Interference for Lifelong Learning
Anti-Retroactive Interference for Lifelong Learning
Runqi Wang
Yuxiang Bao
Baochang Zhang
Jianzhuang Liu
Wentao Zhu
Guodong Guo
KELM
CLL
18
20
0
27 Aug 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
29
122
0
26 May 2022
Generalized Knowledge Distillation via Relationship Matching
Generalized Knowledge Distillation via Relationship Matching
Han-Jia Ye
Su Lu
De-Chuan Zhan
FedML
22
20
0
04 May 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Fu Lee Wang
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
25
240
0
10 Apr 2022
Forward Compatible Few-Shot Class-Incremental Learning
Forward Compatible Few-Shot Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
Liang Ma
Shiliang Pu
De-Chuan Zhan
CLL
28
168
0
14 Mar 2022
PyCIL: A Python Toolbox for Class-Incremental Learning
PyCIL: A Python Toolbox for Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
De-Chuan Zhan
CLL
43
93
0
23 Dec 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
C. Miao
Xiansheng Hua
Hanwang Zhang
CML
176
175
0
02 Mar 2021
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