It is is now clear that some configurations used in some architectures (e.g., additional RNN layers) are actually irrelevant and can be removed altogether without harming accuracy. 
 Question: What are least important components identified in the the training of VQA models?
 some configurations used in some architectures (e.g., additional RNN layers) are actually irrelevant