Most entropy measures depend on the spread of the probability distributi...
The rectified linear unit (ReLU) is a highly successful activation funct...
The importance of learning rate (LR) schedules on network pruning has be...
Long-range time series forecasting is usually based on one of two existi...
The advancement of deep learning has led to the development of neural
de...
Convolutional Neural Networks (CNN) have been pivotal to the success of ...
Augmenting transformation knowledge onto a convolutional neural network'...
Neuromorphic image sensors produce activity-driven spiking output at eve...
In this paper, we address the challenging problem of action recognition,...
Unlike conventional frame-based sensors, event-based visual sensors outp...