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FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence-Covered by Adel Foda 

Machine Learning and AI Meetup
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For our February 2020 Meetup we had a series of talks on papers covered in local reading groups. We had four presenters sharing their synopsis and review on a paper they've read and liked recently.
This video features
"FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
- Covered by Adel Foda
Link to paper - arxiv.org/abs/...
Check out the other talks here
"A Framework for Understanding Unintended Consequences of Machine Learning"
- Covered by Laura Summers
- • A Framework for Unders...
"Hindsight Experience Replay"
- Covered by Kristian Holsheimer
• Hindsight Experience R...
"Causal Induction from Visual Observations for Goal Directed Tasks"
- Covered by Lizzie Silver
• Causal Induction from ...
For more Melbourne MLAI goodness head to mlai.melbourne/

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29 авг 2024

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Комментарии : 2   
@simonb.jensen7825
@simonb.jensen7825 2 года назад
Loved the presentation! Looks like you guys are having such much fun drinking beer and laughing around while presenting complex SOTA deep learning topics :D
@vishalahuja2502
@vishalahuja2502 3 года назад
Nice coverage of the paper. I have one question: you explain that the pseudo-label is used only if the confidence is above a certain threshold (which is also a hyperparameter). Where is the confidence coming from? It is well known that the confidence score coming out of softmax is not reliable. Can you please explain?
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