1 Introduction
Table 5: Results for transfer learning across views
['[BOLD] Model', '[BOLD] Optimization', '[BOLD] Left to Right', '[BOLD] Right to Left']
At the face of it, it may seem that both CorrNet and MAE differ only in their objective functions. Specifically, if we remove the last correlation term from the objective function of CorrNet then it would become equivalent to MAE. To verify this, we conducted experiments using both MAE and CorrNet without the last term (say CorrNet(123)). When using SGD to train the networks, we found that the performance is almost similar. However, when we use some advanced optimization technique like RMSProp, CorrNet(123) starts performing better than MAE.