Snorkel: Rapid Training Data Creation with Weak Supervision · HackerPapers discussions

Snorkel: Rapid Training Data Creation with Weak Supervision — mentioned by sandGorgon

Wed, 22 Jun 2022 06:34:23 GMT

how do u compare between Aquarium, HumanLoop, Cord.Tech, Lightly, https://prodi.gy/ and you guys ? And probably SnorkelAI (who probably is considered the OG with their paper https://arxiv.org/abs/1711.10160) P.S. not trying to compare the product or the company/team, but was hoping for a more technical understanding. only reason i even mentioned those names is cos they were all launched here on HN. I generally term this space as "algorithmic labeling" and there are many approaches here - https://paperswithcode.com/paper/machine-learning-algorithms... . Any kind of algorithms or domains that…

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Snorkel: Rapid Training Data Creation with Weak Supervision — mentioned by tadkar

Thu, 16 Jul 2020 09:53:36 GMT

So, I am specifically talking about the scenario where all your labelling functions are highly correlated and there is little or no ground truth data to come up with empirical weights for each of the labelling functions. An example is the scenario where you have the label functions: x>5, x>4.99, x>5.01 for some feature x. I am really struggling to see how Snorkel can correct for the correlation, especially given the relatively simple generative model in section 2.2 of the paper. https://arxiv.org/pdf/1711.10160.pdf

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Snorkel: Rapid Training Data Creation with Weak Supervision — mentioned by manojlds

Thu, 16 Jul 2020 06:06:54 GMT

Their paper explains it - https://arxiv.org/abs/1711.10160 Snorkel itself has been a open source package for a while - https://github.com/snorkel-team/snorkel This new announcement is about Snorkel Flow

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Snorkel: Rapid Training Data Creation with Weak Supervision — HN submission

Fri, 15 Mar 2019 05:15:02 GMT

Snorkel: Rapid Training Data Creation with Weak Supervision

2 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.