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Class-Incremental Learning via Knowledge Amalgamation

Class-Incremental Learning via Knowledge Amalgamation

5 September 2022
Marcus Vinícius de Carvalho
Mahardhika Pratama
Jie Zhang
Yajuan San
    CLL
ArXivPDFHTML

Papers citing "Class-Incremental Learning via Knowledge Amalgamation"

7 / 7 papers shown
Title
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene
  Classification
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
M. A. Ma'sum
Mahardhika Pratama
Ramasamy Savitha
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
49
2
0
04 Jun 2024
Cross-Domain Continual Learning via CLAMP
Cross-Domain Continual Learning via CLAMP
Weiwei Weng
Mahardhika Pratama
Jie Zhang
Chen Chen
E. Yapp
Savitha Ramasamy
37
1
0
12 May 2024
Few-Shot Class Incremental Learning via Robust Transformer Approach
Few-Shot Class Incremental Learning via Robust Transformer Approach
Naeem Paeedeh
Mahardhika Pratama
S. Wibirama
Wolfgang Mayer
Zehong Cao
Ryszard Kowalczyk
CLL
29
2
0
08 May 2024
Training-Free Pretrained Model Merging
Training-Free Pretrained Model Merging
Zhenxing Xu
Ke Yuan
Huiqiong Wang
Yong Wang
Mingli Song
Mingli Song
MoMe
32
15
0
04 Mar 2024
Fantastic Gains and Where to Find Them: On the Existence and Prospect of
  General Knowledge Transfer between Any Pretrained Model
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
30
11
0
26 Oct 2023
Few-Shot Continual Learning via Flat-to-Wide Approaches
Few-Shot Continual Learning via Flat-to-Wide Approaches
M. A. Ma'sum
Mahardhika Pratama
E. Lughofer
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
VLM
CLL
21
4
0
26 Jun 2023
Learning to Predict Gradients for Semi-Supervised Continual Learning
Learning to Predict Gradients for Semi-Supervised Continual Learning
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
SSL
CLL
44
6
0
23 Jan 2022
1