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SLCA: Slow Learner with Classifier Alignment for Continual Learning on a
  Pre-trained Model

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model

9 March 2023
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling-Hao Chen
Yunchao Wei
    CLL
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Papers citing "SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model"

25 / 25 papers shown
Title
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Kun He
Zijian Song
Shuoxi Zhang
J. Hopcroft
CLL
56
0
0
25 Apr 2025
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
Songze Li
Tonghua Su
Xu-Yao Zhang
Qixing Xu
Zhongjie Wang
CLL
31
0
0
09 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
Y. Liu
Di Li
Wei Zhou
Liang Song
CLL
VLM
57
1
0
24 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu
Xiaobin Chang
CLL
71
0
0
23 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
80
1
0
17 Feb 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
George Karantaidis
Athanasios Pantsios
Y. Kompatsiaris
Symeon Papadopoulos
CLL
60
0
0
20 Jan 2025
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
23
1
0
04 Nov 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedML
MoMe
CLL
29
2
0
23 Oct 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
Mingyi Guo
Yuyang Liu
Zongying Lin
Peixi Peng
Yonghong Tian
Yonghong Tian
VLM
30
0
0
08 Oct 2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Jiashuo Li
Shaokun Wang
Bo Qian
Yuhang He
Xing Wei
Qiang Wang
Yihong Gong
CLL
80
1
0
23 Sep 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for
  Continual Learning
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu
Hesong Li
Ying Fu
J. Weijer
Changsheng Xu
CLL
44
1
0
02 Aug 2024
CLIP with Generative Latent Replay: a Strong Baseline for Incremental
  Learning
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
Emanuele Frascaroli
Aniello Panariello
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLM
CLL
35
3
0
22 Jul 2024
Background Adaptation with Residual Modeling for Exemplar-Free
  Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang
Guangyu Gao
CLL
VLM
31
4
0
13 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
40
4
0
07 Jul 2024
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic
  Segmentation
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
Bingfeng Zhang
Siyue Yu
Yunchao Wei
Yao Zhao
Jimin Xiao
VLM
33
8
0
17 Jun 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
37
1
0
20 May 2024
Continual Segmentation with Disentangled Objectness Learning and Class
  Recognition
Continual Segmentation with Disentangled Objectness Learning and Class Recognition
Yizheng Gong
Siyue Yu
Xiaoyang Wang
Jimin Xiao
CLL
22
5
0
06 Mar 2024
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
18
7
0
13 Dec 2023
Towards a General Framework for Continual Learning with Pre-training
Towards a General Framework for Continual Learning with Pre-training
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
21
3
0
21 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
40
20
0
10 Oct 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
91
27
0
13 Sep 2023
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
163
258
0
19 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
154
676
0
22 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
1