How to handle sparse tabular time-series data for deep-learning models?

Hi! I have an encoder that whose input is tabular data. The input can be pretty sparse and the features are heterogenous with single features having multiple dimensions. How can I handle this feature dimensionality oversampling and address the input data sparsity?

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Timeline · 2 reports

1. 2026-10-13 21:53 · r/deeplearning
   How to handle sparse tabular time-series data for deep-learning models?
2. 2026-10-13 21:53 · r/MLQuestions
   How to handle sparse tabular time-series data for deep-learning models?