Abstract: In this article, a stochastic recurrent encoder decoder neural network (SREDNN), which considers latent random variables in its recurrent structures, is developed for the first time for the ...

Abstract: This paper proposes a GeneraLIst encoder-Decoder (GLID) pre-training method for better handling various downstream computer vision tasks. While self-supervised pre-training approaches, e.g., ...

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Large sequence to sequence models for tasks such as Neural Machine Translation (NMT) are usually trained over hundreds of millions of samples. However, training is just the origin of a model’s ...

I dunno, I thought this would be something that would make sense, but maybe there's no market need? For a lot of users, there's no real need for a full fat graphics card: what they really need are the ...

"#### Data format - I am using Run Length Encoding(RLE) to compress the input Ascii Art. This encoding is useful to compress the input data when it contains \"CONSECUTIVE\" similar characters. I ...