Interestingly, the reduced examples transfer to other architectures.
when we feed fifty reduced SNLI inputs from each class-generated with the BIMPM model (Wang et al., 2017)-through the Decomposable Attention Model (Parikh et al., 2016), 2 the same prediction is triggered 81.3% of the time.