Recently, vision Transformers (ViTs) have been actively applied to
fine-...
Deep spiking neural networks (SNNs) are promising neural networks for th...
One of the key issues in facial expression recognition in the wild (FER-...
Event cameras respond to brightness changes in the scene asynchronously ...
Spiking neural networks (SNNs) that mimic information transmission in th...
Various deep learning applications on smartphones have been rapidly risi...
Sentence-level relation extraction mainly aims to classify the relation
...
Spiking neural networks (SNNs) have been gaining interest as energy-effi...
The tremendous energy consumption of deep neural networks (DNNs) has bec...
Spiking neural networks (SNNs) have emerged as energy-efficient neural
n...
Relation extraction is a type of information extraction task that recogn...
Spiking neural networks (SNNs) have gained considerable interest due to ...
Over the past decade, deep neural networks (DNNs) have become a de-facto...
The spiking neural networks (SNNs), the 3rd generation of neural network...
With the successful development of artificial intelligence using deep
le...
Memory-augmented neural networks (MANNs) refer to a class of neural netw...
Nowadays deep learning is dominating the field of machine learning with
...
Near-data processing (NDP) refers to augmenting memory or storage with
p...