Fig.1

Concept

Joint self-attention

Joint self-attention is a self-attention operation computed over the concatenated token sequences of multiple streams at once, rather than running attention separately per stream. Like the self-attention inside a standard transformer block, except the query/key/value…

The rest of “Joint self-attention” is a premium feature: every concept in the library gets a precise, practitioner-focused write-up like this one, cross-linked straight from the paper summaries that use it.

Log in to unlock

← Back to the library