to the supervised learning regime and all the meant is roughly performed similar but in the extreme scenario value are very few labels 215 up to 50 label data points and so on which will have a certain training significantly the best in this vhn and it is through the best on see for our notes other methods are competitive as well the lessons from this paper are when you use the standard when you compare different algorithms and semi squares I mean you should make sure that you use a standard architecture and equal training