specific method · filed under model architecture
Attention Residuals (AttnRes)
A residual method in which each layer selectively retrieves representations from earlier layers instead of accumulating them uniformly.
Also called Attention Residuals, AttnRes.
- sources
- 7
- model
- 1
- lab adopt it
- 1
- strongest
- core
How sources treat it
One count per evidence span, weakest treatment to strongest.
Documented in
Further reading
Picked by hand, not extracted: where to read more, not evidence for anything on this page.
- Attention Residuals (Kimi Team) paper arxiv.org
Evidence
7 spans quoted from the sources, strongest treatment first.
Kimi K3 is built on Kimi Delta Attention (KDA) and Attention Residuals (AttnRes)
and Attention Residuals (AttnRes)
Attention Residuals (AttnRes) [57] allows each layer to selectively attend to representations from all preceding layers.
A drop-in replacement for standard residual connections. ... AttnRes allows each layer to selectively retrieve representations from arbitrary earlier layers.
Its architecture uses KDA and Attention Residuals for computational efficiency.
AttnRes selectively retrieves representations across depth rather than accumulating them uniformly.
Attention Residuals, which change how information moves between layers
Filed alongside
Other methods under model architecture :: normalization & residual.