Structured-matrix scoring functions, BTT and MLR, let attention escape the low-rank bottleneck and add a distance-dependent compute bias, improving accuracy for fixed compute on regression, language modeling, and forecasting.
SLT rain: a sparse plus low rank approach for parameter and memory efficient pretraining
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Customizing the Inductive Biases of Softmax Attention using Structured Matrices
Structured-matrix scoring functions, BTT and MLR, let attention escape the low-rank bottleneck and add a distance-dependent compute bias, improving accuracy for fixed compute on regression, language modeling, and forecasting.