Data-centric AI encourages the need of cleaning and understanding of dat...
Anomalous pattern detection aims to identify instances where deviation f...
Generative Adversarial Networks (GANs) have recently achieved unpreceden...
Recent advances in deep learning have led to breakthroughs in the develo...
Deep generative models, such as Variational Autoencoders (VAEs), have be...
Existing datasets available to address crucial problems, such as child
m...
Audio processing models based on deep neural networks are susceptible to...
Gaining insight into how deep convolutional neural network models perfor...
This work views neural networks as data generating systems and applies
a...