OpenAI cofounder Andrej Karpathy warns that unsupervised AI can hallucinate and wreak havoc, and says developers must stay in control to avoid this mess.

Artist Terence Broad makes AI produce images without any training data at all.

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

The team proposed a novel representation learning method based on an integrated autoencoders for unsupervised domain adaptation. A sparse autoencoder is introduced to combine the inter- and inner ...

We trained a deep neural network with unsupervised learning (Autoencoder) to reconstruct vibratory patterns elicited by human haptic exploration of different materials. The learned compressed ...

If you’ve read about unsupervised learning techniques before, you may have come across the term “autoencoder”. Autoencoders are one of the primary ways that unsupervised learning models are developed.

Abstract: The autoencoder (AE) is a fundamental deep learning approach to anomaly detection ... In practice, however, this assumption is unreliable in the unsupervised case, where the training data ...