Closed kanthagirish-rit closed 4 years ago
Yes. Page 6 of paper:
For unsupervised clustering, following previous work [8, 51, 52], we train on the full dataset and test on the labelled part; for the semi-supervised settings, train and test sets are separate.
Hello Xu,
If I understood correctly, for datasets like CIFAR10 the model will both train and test on the full dataset(because they are all labelled)? I noticed that all partitions were set to load [True, false].
Many thanks for the work again!
Yes, for fully unsupervised learning the model is trained on the full dataset, and tested on the part that has labels (otherwise it is unknown whether a prediction is correct), which is the full dataset in the case of CIFAR10.
Hi Xu,
A well-written paper! Thanks for the code as well.
I am trying to perform timing analysis by loading a pretrianed segmentation model. I have the following question W.R.T dataloader.
In the function
segmentation_create_dataloaders(config)
, the train and test partitions use all the data (train/test/validation) formode == 'IID'
. IID seems to be the required mode by the code. Does this mean entire data was used for training?Thanks, Kantha Girish