DynamicConv
Dynamic Convolution
**DynamicConv** is a type of [convolution](https://paperswithcode.com/method/convolution) for sequential modelling where it has kernels that vary over time as a learned function of the individual time steps. It builds upon [LightConv](https://paperswithcode.com/method/lightconv) and takes the same form but uses a time-step dependent kernel:

$$ \text{DynamicConv}\left(X, i, c\right) = \text{LightConv}\left(X, f\left(X\_{i}\right)\_{h,:}, i, c\right) $$
Pay Less Attention with Lightweight and Dynamic Convolutions
https://paperswithcode.com/paper/pay-less-attention-with-lightweight-and
Pay Less Attention with Lightweight and Dynamic Convolutions