LSTM автоэнкодеры
method
ID: lstmautoencoders
Related Papers
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer
AbstractUnsupervised text style transfer is full of challenges due to the lack of parallel data and difficulties in content preservation. In this paper, we propose a novel neural approach to …...