77 citations · 81 across the 4 of their papers we have counts for
5 papers
Balancing Accuracy and Latency in Multipath Neural Networks
Mohammed Amer, Tomás Maul, Iman Yi Liao
The growing capacity of neural networks has strongly contributed to their success at complex machine learning tasks and the computational demand of such large models has, in turn,…
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…
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…
Path Capsule Networks
Mohammed Amer, Tomás Maul
Capsule network (CapsNet) was introduced as an enhancement over convolutional neural networks, supplementing the latter's invariance properties with equivariance through pose estim…