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Explainable Deep Learning: A Field Guide for the Uninitiated

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Denny Britz: Explainable Deep Learning: A Field Guide for the Uninitiated: https://arxiv.org/abs/2004.14545 This paper looks like a nice survey for anyone who wants to get started in Deep Learning explainability and trust/safety research. https://t.co/kgwMvDRkQ4

3 replies, 980 likes


Sebastian Raschka: "Explainable Deep Learning: A Field Guide for the Uninitiated" -- whoa, the 43 pages go a bit over my typical weekend reading threshold, but something to bookmark for later: https://arxiv.org/abs/2004.14545 https://t.co/55j7EykKvy

1 replies, 676 likes


Gabrielle Ras: Our new survey paper is out!! Explainable Deep Learning: A Field Guide for the Uninitiated https://arxiv.org/abs/2004.14545 It's basically a field guide for newcomers in the field, covering many many explanation methods for deep learning and much more! https://t.co/TQiP7NDzMa

3 replies, 66 likes


Hacker News: Explainable Deep Learning: A Field Guide for the Uninitiated https://arxiv.org/abs/2004.14545

0 replies, 58 likes


/MachineLearning: Explainable Deep Learning: A Field Guide for the Uninitiated https://www.reddit.com/r/MachineLearning/comments/gbpjfu/r_explainable_deep_learning_a_field_guide_for_the/

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Lavanya 🦋: If anyone wants to follow along, I'm currently digging through this paper. It's fascinating! – https://arxiv.org/pdf/2004.14545.pdf

1 replies, 13 likes


Hacker News 250: Explainable Deep Learning: A Field Guide for the Uninitiated https://arxiv.org/abs/2004.14545 (http://news.ycombinator.com/item?id=23060656)

0 replies, 4 likes


Grace Lindsay: May be of interest. Personally I'd like a review focused on the more neuro/cogsci styles of analysis of deep nets (rather than those used for explanations, fairness, etc). Many papers have come up with different analyses, would be nice to see them all compared & compiled!

0 replies, 3 likes


HotComputerScience: Most popular computer science paper of the day: "Explainable Deep Learning: A Field Guide for the Uninitiated" https://hotcomputerscience.com/paper/explainable-deep-learning-a-field-guide-for-the-uninitiated https://twitter.com/dennybritz/status/1256167318255779842

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Marek Bardoński: Deep neural networks can be a handfull to understand. We have no idea how the network comes to the final thought. Luckily @Ning_September and @RealGabinator come with an answear! A great paper to read! https://arxiv.org/abs/2004.14545

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La Forge AI: [2004.14545] Explainable Deep Learning: A Field Guide for the Uninitiated #machinelearning #explainableai #interpretableai #transparency https://arxiv.org/abs/2004.14545

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Popular ML resources: The most popular ArXiv tweet in the last 24h: https://twitter.com/dennybritz/status/1256167318255779842

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Ning Xie: Check our latest survey paper: Explainable Deep Learning: A Field Guide for the Uninitiated https://arxiv.org/abs/2004.14545 #explainableai #interpretableai #transparency #explainability #interpretability #fairness #bias #ethicalai #deeplearning #artificialintelligence #machinelearning https://t.co/f9fTvETMtR

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OGAWA, Tadashi: => "Explainable Deep Learning: A Field Guide for the Uninitiated", arXiv, Apr 30, 2020 https://arxiv.org/abs/2004.14545 Necessary external traits of an explanation Confidence / Trust / Safety / Ethics 125 references M. van Gerven https://scholar.google.co.jp/citations?hl=ja&user=sX0ZypwAAAAJ&view_op=list_works&sortby=pubdate D. Doran https://derk--.github.io/ https://t.co/L7wBXl4m7G

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Zeldia: Deep learning research for those who are in #DeepLearning #MachineLearning #DataScience #100DaysOfCode #100DaysOfMLCode #Coding #Python

0 replies, 1 likes


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Found on May 01 2020 at https://arxiv.org/pdf/2004.14545.pdf

PDF content of a computer science paper: Explainable Deep Learning: A Field Guide for the Uninitiated