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[D] Machine Learning – WAYR (What Are You Reading) – Week 66

This is a place to share machine learning research papers, journals, and articles that you’re reading this week. If it relates to what you’re researching, by all means elaborate and give us your insight, otherwise it could just be an interesting paper you’ve read.

Please try to provide some insight from your understanding and please don’t post things which are present in wiki.

Preferably you should link the arxiv page (not the PDF, you can easily access the PDF from the summary page but not the other way around) or any other pertinent links.

Previous weeks :

1-10 11-20 21-30 31-40 41-50 51-60 61-70
Week 1 Week 11 Week 21 Week 31 Week 41 Week 51 Week 61
Week 2 Week 12 Week 22 Week 32 Week 42 Week 52 Week 62
Week 3 Week 13 Week 23 Week 33 Week 43 Week 53 Week 63
Week 4 Week 14 Week 24 Week 34 Week 44 Week 54 Week 64
Week 5 Week 15 Week 25 Week 35 Week 45 Week 55 Week 65
Week 6 Week 16 Week 26 Week 36 Week 46 Week 56
Week 7 Week 17 Week 27 Week 37 Week 47 Week 57
Week 8 Week 18 Week 28 Week 38 Week 48 Week 58
Week 9 Week 19 Week 29 Week 39 Week 49 Week 59
Week 10 Week 20 Week 30 Week 40 Week 50 Week 60

Most upvoted papers two weeks ago:

/u/Simusid: Spectrogram Feature Losses for Music Source Separation

/u/MogwaiAllOnYourFace: Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization

/u/singularperturbation: Uncertainty in Deep Learning

Besides that, there are no rules, have fun.

submitted by /u/ML_WAYR_bot
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