We make available pretrained CNN protein sequence masked language ... ByteNet The ByteNet model was adapted from Kalchbrenner et al.. ByteNet uses stacked convolutional encoder and decoder layers to ...

Each Decoder is structured in three layers: 1) a masked multi-head Self-Attention layer; 2) a multi-head attention layer; 3) a FFNN (Figure 1A). The overall structure ... models modified the original ...

and protein structure prediction. Autoencoders are neural network models consisting of an encoder and a decoder. The encoder compresses the input data into a lower-dimensional latent space ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

For example, you might use a multi-task learning approach, where you train your encoder-decoder model on multiple related tasks simultaneously, and share some parameters across them. This can ...

They are the key innovation behind AlphaFold, DeepMind’s protein structure ... require both the encoder and decoder module. For example, the GPT family of large language models uses stacks ...