77 citations · 86 across the 5 of their papers we have counts for
7 papers
Towards a Universal Gating Network for Mixtures of Experts
Chen Wen Kang, Chua Meng Hong, Tomas Maul
The combination and aggregation of knowledge from multiple neural networks can be commonly seen in the form of mixtures of experts. However, such combinations are usually done usin…
Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection
Kasra Babaei, ZhiYuan Chen, Tomas Maul
This paper proposes an autoencoder (AE) that is used for improving the performance of once-class classifiers for the purpose of detecting anomalies. Traditional one-class classifie…
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing
Mohammed Amer, Tomás Maul
Lifelong learning is a very important step toward realizing robust autonomous artificial agents. Neural networks are the main engine of deep learning, which is the current state-of…
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF)
Kasra Babaei, ZhiYuan Chen, Tomas Maul
Outlier detection (also known as anomaly detection or deviation detection) is a process of detecting data points in which their patterns deviate significantly from others. It is co…
Weight Map Layer for Noise and Adversarial Attack Robustness
Mohammed Amer, Tomás Maul
Convolutional neural networks (CNNs) are known for their good performance and generalization in vision-related tasks and have become state-of-the-art in both application and resear…
A Review of Modularization Techniques in Artificial Neural Networks
Mohammed Amer, Tomás Maul
Artificial neural networks (ANNs) have achieved significant success in tackling classical and modern machine learning problems. As learning problems grow in scale and complexity, a…