Classifiers architectures. Architecture names with the +ATT tag refer to models trained on ASTROMER embeddings. In contrast, the baseline uses only the light curves for training. The number in parenthesis is the number of units from the corresponding layer. We notice that the 256 in the LSTM corresponds to the states' size of the RNN. ReLU and Linear correspond to the activations for each feed-forward layer. The dimensionality of the last linear layer depends on the number of classes from each labeled dataset. The total number of parameters at the bottom does not include the ASTROMER size.