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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Entities, as important carriers of real-world knowledge, play a key role in many NLP tasks. We focus on incorporating entity knowledge into an encoder-decoder framework for informative text generation ...
"#### 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 ...
Thanks to today’s ultra high definition video and increasing complex demands for video editing, a new video format has risen to the throne, called H.265. This format, popularized by x265 and other ...
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