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Premonition: Using Generative Models to Preempt Future Data Changes in
  Continual Learning

Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning

12 March 2024
Mark D Mcdonnell
Dong Gong
Ehsan Abbasnejad
Anton Van Den Hengel
    VLMDiffM
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning"

5 / 5 papers shown
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
Jiawei Zhan
Jun Liu
Jinlong Peng
Xiaochen Chen
Bin-Bin Gao
Yong-Jin Liu
Chengjie Wang
CLL
179
0
0
14 Oct 2025
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
John E. Hopcroft
CLL
309
0
0
25 Apr 2025
Expandable Subspace Ensemble for Pre-Trained Model-Based
  Class-Incremental Learning
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2024
Da-Wei Zhou
Hai-Long Sun
Han-Jia Ye
De-Chuan Zhan
CLL
267
107
0
18 Mar 2024
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLMCLL
380
74
0
30 May 2023
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
Haiwei Wu
Jiantao Zhou
Shile Zhang
508
45
0
23 May 2023
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