Divide and not forget: Ensemble of selectively trained experts in Continual Learning

18 January 2024

Papers citing "Divide and not forget: Ensemble of selectively trained experts in Continual Learning"

5 / 5 papers shown

Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 56 1 0 10 Mar 2025
Theory on Mixture-of-Experts in Continual Learning Hongbo Li Sen-Fon Lin Lingjie Duan Yingbin Liang Ness B. Shroff MoE MoMe CLL 111 14 0 20 Feb 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition George Karantaidis Athanasios Pantsios Y. Kompatsiaris Symeon Papadopoulos CLL 55 0 0 20 Jan 2025
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays Leonardo Ravaglia Manuele Rusci D. Nadalini Alessandro Capotondi Francesco Conti Luca Benini BDL 37 62 0 20 Oct 2021
Class-Incremental Learning with Generative Classifiers Gido M. van de Ven Zhe Li A. Tolias BDL 42 55 0 20 Apr 2021