Comments (2)
就很奇怪,理论上来说,更多的有标签数据,训练之后的结果应该是更好的。但是实际上并没有变好。
from semi-supervised-learning.
Stale issue message
from semi-supervised-learning.
Related Issues (20)
- SAT.ass HOT 1
- About config, how to decide the hyperparameters? HOT 3
- There seems to be something strange when the data is loading HOT 6
- Issues related to voice datasets HOT 1
- R..net..\..m..;M// HOT 1
- How to decide the number of labels in experiments HOT 1
- Questions about batch normalization handling. HOT 1
- Can this run a multilabel problem HOT 1
- Testing models on audio datasets HOT 1
- semilearn get config from file
- Semi-supervised-learning/semilearn/datasets/cv_datasets /cifar.py代码是否有误? HOT 1
- som question about get_cosine_schedule_with_warmup HOT 3
- there‘s a bug in the net resnet50,the self.fc(x) is missing HOT 2
- Add Unimatch ? HOT 1
- There seems to exist a bug when using trainer class
- There is CIFAR-400 in the papaer HOT 1
- Assertion on pseudolabel HOT 1
- Cannot reproduce softmatch result on ag_news dataset HOT 3
- RuntimeError: The size of tensor a (1025) must match the size of tensor b (257) at non-singleton dimension 1 HOT 2
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from semi-supervised-learning.