A DeepMind research team proposes Perceiver IO, a single network that can easily integrate and transform arbitrary information for arbitrary tasks while scaling linearly with both input and output sizes. The general architecture achieves outstanding results on tasks with highly structured output spaces, such as natural language and visual understanding.

Here is a quick read: DeepMind’s Perceiver IO: A General Architecture for a Wide Variety of Inputs & Outputs.

The Perceiver IO code is available on the project GitHub. The paper Perceiver IO: A General Architecture for Structured Inputs & Outputs is on arXiv.

Source link