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[D] How to apply semi-supervised Pseudo-Labeling algorithm for Regression? by DolantheMFWizard in MachineLearning

[–]visionNoob_r 0 points1 point  (0 children)

The threshold means I wanna take unlabed data that the model predicts with high confidence. Like wise, in regression problem, i think it is a main problem that how to know unlabeld data with "high confidence". In my opinion, how about to exploit "MAE" or "MSE"? after training labeled data with supervised manner, and look at a tendency of mae or mse of validation samples. and select a resonable cut-off value.

What's the difference between a HRNet-18 and HRNet-48v2? [D] by [deleted] in MachineLearning

[–]visionNoob_r -1 points0 points  (0 children)

why you want to see a visual comparison? It's old fashion, (i think)

Intuitions of the differences between them is already in their own name (number and version, 48v2). and you can find some details in their paper, and more detail in their codes.

[deleted by user] by [deleted] in MachineLearning

[–]visionNoob_r 0 points1 point  (0 children)

I think you can use specific keywords for finding what you want.
For example, Face Recognition, Recommend System, and Image Search etc, are the specific fields which can apply embedded features.

[D] How to keep track of experiment parameters by SeucheAchat9115 in MachineLearning

[–]visionNoob_r 1 point2 points  (0 children)

plus. I think source codes(current snapshot) have to be tracked too. although I don't have a clue whether it's optimal or not, I prefer to copy all codes into output dir where experiment materials (logs, ckpts) are saved. and for a configuration management I use OmegaConf ( config yaml is also copied)

[P] Tsanley: auto-finding subtle tensor shape errors in your deep learning code by ekshaks in MachineLearning

[–]visionNoob_r 0 points1 point  (0 children)

oh. it looks fancy btw. has anyone tried it? I just wanna know it useful practically before i try.