Question: What is in the model search space?
Answer: Our search space consists of two stackable cells, one for the model encoder and one for the decoder , Each cell contains NASNet-style blocks, which receive two hidden state inputs and produce new hidden states as outputs, Our search space contains five branch-level search fields (input, normalization, layer, output dimension and activation), one block-level search field (combiner function) and one cell-level search field (number of cells).