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Continual Learning with Fully Probabilistic Models

Continual Learning with Fully Probabilistic Models

19 April 2021
Benedikt Pfülb
A. Gepperth
Benedikt Bagus
    BDL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning with Fully Probabilistic Models"

5 / 5 papers shown
Title
Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach
Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach
Iing Muttakhiroh
Thomas Fevens
CLL
84
0
0
13 Aug 2025
CCD: Continual Consistency Diffusion for Lifelong Generative Modeling
CCD: Continual Consistency Diffusion for Lifelong Generative Modeling
Jingren Liu
Shuning Xu
Yun Wang
Zhong Ji
Xiangyu Chen
DiffM
277
1
0
17 May 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with PrototypesComputer Vision and Pattern Recognition (CVPR), 2025
Patrick Rim
Hyoungseob Park
Xien Chen
Ziyao Zeng
Younjoon Chung
Alex Wong
CLLMDE
315
5
0
17 Mar 2025
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
765
1,031
0
31 Jan 2023
Beyond Supervised Continual Learning: a Review
Beyond Supervised Continual Learning: a Review
Benedikt Bagus
A. Gepperth
Timothée Lesort
BDLCLL
215
11
0
30 Aug 2022
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