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04/25/2021
Balancing Accuracy and Latency in Multipath Neural Networks
The growing capacity of neural networks has strongly contributed to thei...
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11/03/2020
Towards a Universal Gating Network for Mixtures of Experts
The combination and aggregation of knowledge from multiple neural networ...
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12/21/2019
Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection
This paper proposes an autoencoder (AE) that is used for improving the p...
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12/21/2019
AEGR: A simple approach to gradient reversal in autoencoders for network anomaly detection
Anomaly detection is referred to as a process in which the aim is to det...
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12/10/2019
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing
Lifelong learning is a very important step toward realizing robust auton...
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11/05/2019
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF)
Outlier detection (also known as anomaly detection or deviation detectio...
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05/02/2019
Weight Map Layer for Noise and Adversarial Attack Robustness
Convolutional neural networks (CNNs) are known for their good performanc...
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04/29/2019
A Review of Modularization Techniques in Artificial Neural Networks
Artificial neural networks (ANNs) have achieved significant success in t...
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02/11/2019
