2.2k citations · 2.2k across the 11 of their papers we have counts for
4 papers · 1 filter
Randomized Neural Network with Adaptive Forward Regularization for Online Task-free Class Incremental Learning
Junda Wang, Minghui Hu, Ning Li +2
Class incremental learning (CIL) requires an agent to learn distinct tasks consecutively with knowledge retention against forgetting. Problems impeding the practical applications o…
Incremental Online Learning of Randomized Neural Network with Forward Regularization
Junda Wang, Minghui Hu, Ning Li +2
Online learning of deep neural networks suffers from challenges such as hysteretic non-incremental updating, increasing memory usage, past retrospective retraining, and catastrophi…
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification
Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
In this paper, we first introduce batch normalization to the edRVFL network. This re-normalization method can help the network avoid divergence of the hidden features. Then we prop…
Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik +2
Ensemble learning combines several individual models to obtain better generalization performance. Currently, deep learning architectures are showing better performance compared to…