Detect Anomalies in Text Data Using Variational Autoencoder (VAE) in MATLAB® This example shows how to detect out-of-distribution text data using a variational autoencoder (VAE).

This folder implements MAE operations. Key components of transformers are located inside +layers. To run the code: To visualize the attention map, run MAE_inference_vit_[base/large].m. This will ...

We proposed a convolutional autoencoder with sequential and channel attention (CAE-SCA) to address this issue. Sequential attention (SA) is based on long short-term memory (LSTM), which captures ...

The autoencoder network model for HIV classification, proposed in this paper, thus outperforms the conventional feedforward neural network models and is a much better classifier.

An autoencoder is a neural network that generates data highly similar to the input data for output. Although an autoencoder theoretically produces output almost identical to the input upon completion ...