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BITTE DIE BEIDEN TOP POSTS EDITIEREN WENN MAN WAS ÄNDERT !!!
IST ZUSTAND
Day1:
TERMINOLOGY: (14 slides, d1slot1 teil 1)
Definition ML
Data: Features, Targets
Tasks
Supervised Learning
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I want to do dual translation so I built two models like the following:
```
model, _ = task.build_model(args)
model_r, _ = task_r.build_model(args_r) # translatio in reverse direction
```
Afte…
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Hi~ here are several questions about semi-supervised learning
For MUTAG dataset as instance：
（1）As for the semi-supervised result reported in the paper, which dataset did you use?Did you use MUTA…
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Semisupervised learning techniques assumes that new training samples can be obtained from a (limited) set of available labeled samples without significant effort/cost
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Hi~ I see that STL10 uses net: WideResNetVar. What is it? Does it different from WideResNet?
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[A reliable ensemble based approach to semi-supervised learning](https://www.sciencedirect.com/science/article/pii/S0950705121000010)
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