In this paper, a high-efficiency encoder-decoder structure, inspired by the top-down attention mechanism in human brain perception and named human-like perception attention network (HPANet), is ...

This study presents an advanced encoder-decoder dual attention convolutional long short-term memory (ConvLSTM) model designed to predict sea surface temperatures (SSTs) along the Moroccan coastline, a ...

In this paper, we have proposed an effective stacked convolutional auto-encoder that integrates a selective kernel attention mechanism for image classification. This model is based on a fully ...

The trend will likely continue for the foreseeable future. The importance of self-attention in transformers Depending on the application, a transformer model follows an encoder-decoder architecture.

Decoder-based LLMs can be broadly classified into three main types: encoder-decoder, causal decoder, and prefix decoder. Each architecture type exhibits distinct attention patterns.