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., ...

In the significantly advancing fields of neuroscience and Artificial Intelligence (AI), the goal of comprehending and modeling human cognition has resulted in the creation of sophisticated models that ...

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What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

Abstract: Summary models, whether extractive or abstractive, have achieved great success recently. For long academic papers, the abstractive model with the encoder-decoder architecture mainly only ...

"#### 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 ...