Abstract: In the task of multi-label classification, it is a key challenge to determine the correlation between labels. One solution to this is the Target Embedding Autoencoder (TEA), but most ...
Abstract: Channel autoencoders adopt neural networks to represent and optimize previous block-driven communication systems from an end-to-end perspective. The existing deep fully connected autoencoder ...
Conventional steganography approaches embed a secret message into a carrier for concealed communication but are prone to attack by recent advanced steganalysis tools. In this paper, we propose Image ...
@inproceedings{preechakul2021diffusion, title={Diffusion Autoencoders: Toward a Meaningful and Decodable Representation}, author={Preechakul, Konpat and Chatthee, Nattanat and Wizadwongsa, Suttisak ...
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