Padding time-series subsequences for LSTM-RNN training

Question

I have a dataset of time series that I use as input to an LSTM-RNN for action anticipation. The time series comprises a time of 5 seconds at 30 fps (i.e. 150 data points), a

Answer 1

Better go for padding zeroes in the beginning, as this paper suggests Effects of padding on LSTMs and CNNs,

Though post padding model peaked it’s efficiency at 6 epochs and started to overfit after that, it’s accuracy is way less than pre-padding.

Check table 1, where the accuracy of pre-padding(padding zeroes in the beginning) is around 80%, but for post-padding(padding zeroes in the end), it is only around 50%