TaLK Convolution
Time-aware Large Kernel Convolution
A **Time-aware Large Kernel (TaLK) convolution** is a type of temporal [convolution](https://paperswithcode.com/method/convolution) that learns the kernel size of a summation kernel for each time-step instead of learning the kernel weights as in a typical convolution operation. For each time-step, a function is responsible for predicting the appropriate size of neighbor representations to use in the form of left and right offsets relative to the time-step.
Time-aware Large Kernel Convolutions
https://paperswithcode.com/paper/time-aware-large-kernel-convolutions
Time-aware Large Kernel Convolutions