If we directly use expert rules to label the collected unlabeled data, we will introduce a lot of noisy and classification conflict markers.
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We write Labeling Functions, combine Labeling Function Outputs with the Label Model, and training a classifier.
At the same time, intentional or unintentional anonymous sharing can easily lead to sensitive data being obtained by malicious individuals or organizations.
Here, our expert rules are accumulated before use, and Snorkel a system for quickly generating training data with weak supervision is used for weak supervision learning.
Once hackers intrude into personal cloud storage accounts, a large number of privacy information will be leaked, such as taking private photos of sensitive parts, taking photos of important certificates, recording personal sensitive data files, etc.
Once hackers intrude into personal cloud storage accounts, a large number of privacy information will be leaked, such as taking private photos of sensitive parts, taking photos of important certificates, recording personal sensitive data files, etc.
By: Eggett
+259reps
I work on a lot of stuff in my free time-- I've got in-progress long form projects, and a lot of podcast art.
By: Dianemarie
+783reps
But it is a difficult task for most people, which is boring and hard to persist in.
By: Fredia
+458reps
But collecting enough labeled training data is a very challenging task.
By: Deroo
+54reps
Personal cloud storage, such as Dropbox, Google Drive, and iCloud, has brought various conveniences to people's lives, but also brought various privacy risks.
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