Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers

Zahra Atashgahi, Mykola Pechenizkiy, Raymond Veldhuis +1

Efficient time series forecasting has become critical for real-world applications, particularly with deep neural networks (DNNs). Efficiency in DNNs can be achieved through sparse…