Temporal Convolutions

Time-aware Large Kernel Convolution

Introduced by Lioutas et al. in Time-aware Large Kernel Convolutions

A Time-aware Large Kernel (TaLK) convolution is a type of temporal 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.

Source: Time-aware Large Kernel Convolutions


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Document Summarization 1 33.33%
Language Modelling 1 33.33%
Machine Translation 1 33.33%


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