Closed zhangxiangnick closed 6 years ago
Really enjoyed your ACL2018 paper! Need some clarification for the re-weighting step.
In your ACL2018 paper, it says re-weighting is used as "a final step once self-learning has converged to a good solution."
In the code (line 314), it seems like re-weighting is used in every step of self-learning.
Does it make much difference how re-weighting is used?
Re-weighting is only applied in the last iteration as described in the paper: when the variable 'end' is False (which happens in all iterations but the last one) we learn an orthogonal mapping (line 282).
Really enjoyed your ACL2018 paper! Need some clarification for the re-weighting step.
In your ACL2018 paper, it says re-weighting is used as "a final step once self-learning has converged to a good solution."
In the code (line 314), it seems like re-weighting is used in every step of self-learning.
Does it make much difference how re-weighting is used?