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Class-Incremental Exemplar Compression for Class-Incremental Learning

Class-Incremental Exemplar Compression for Class-Incremental Learning

24 March 2023
Zilin Luo
Yaoyao Liu
Bernt Schiele
Qianru Sun
    VLM
    CLL
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Papers citing "Class-Incremental Exemplar Compression for Class-Incremental Learning"

13 / 13 papers shown
Title
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
VLM
KELM
CLL
88
3
0
01 Dec 2024
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
Hao Chen
F. Brémond
Nicu Sebe
Shiliang Zhang
CLL
102
1
0
22 Nov 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
N. Raichur
Lucas Heublein
Tobias Feigl
A. Rügamer
Christopher Mutschler
Felix Ott
CLL
BDL
73
7
0
17 May 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
42
2
0
19 Mar 2024
Continual Adversarial Defense
Continual Adversarial Defense
Qian Wang
Yaoyao Liu
Hefei Ling
Yingwei Li
Qihao Liu
Ping Li
AAML
59
3
0
15 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 L. Yuille
DiffM
VLM
30
1
0
30 Nov 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
26
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
21
0
0
13 Aug 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
F. Zhu
Fengqing M Zhu
59
14
0
01 Jul 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
VLM
CLL
71
37
0
30 May 2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes
  Augmentation and Mixed Features
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features
Kenny Song
Quan Xia
Guoqiang Liang
Zhaoji Chen
Yanning Zhang
CLL
27
6
0
16 Apr 2023
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen-li Ma
Zixuan Liu
Xue Liu
86
35
0
24 Jul 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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