Comments (2)
JSON is just for information, it's not used.
For the second question you guessed right.
from mixmatch.
Good to know, thank you for helping!
from mixmatch.
Related Issues (20)
- When will Remixmatch (ICLR'20) be available? HOT 3
- A question about "post_ops" in mixmatch.py HOT 2
- Implemented on other models HOT 1
- What are the most important things to reproduce the result on my own dataset? HOT 2
- Use MixMatch on tabular data. HOT 6
- A question about lambda_u HOT 2
- Is there any reason why you chose to use Beta Distribution? HOT 1
- Reason for ramping up weight of unlabelled loss function(lambda_u). HOT 3
- Comparison of fully supervised models with MixMatch. HOT 2
- How to chose total number of training steps HOT 5
- how to save the train and test accuracies to disk HOT 2
- question about mixmatch/scripts/create_split.py line113-130
- Working with higher resolution images HOT 1
- Hello, can I use it for multi label classification? If so, what should I pay attention to in the process of tag prediction? For multi label classification, sigmoid is generally used as the loss function. In this case, can you change your loss function to sigmoid? HOT 3
- what is the proper behavior of consistency loss HOT 1
- how to recover performance when doing evaluation HOT 4
- why not using dropout in the wide resnet as done in the wide resnet paper? HOT 4
- In your implementation of Mean teacher, isn't the student model and the teacher model the same? HOT 1
- ModuleNotFoundError: No module named 'libml' HOT 1
- Project dependencies may have API risk issues HOT 1
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