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apprenticeship

A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.
https://github.com/WenyanLiu/apprenticeship

Last synced: 5 days ago
JSON representation

  • Diving In

    • Awesome Privacy Protection Research Materials

    • Awesome Federated Learning Research Materials

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      • :ledger: - Vtiw) |
      • :ledger: - learning-addon)[:keyboard:](https://github.com/mozilla/telemetry-streaming/tree/master/src/main/scala/com/mozilla/telemetry/learning/federated)[:keyboard:](https://github.com/florian/federated-learning) |
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      • :ledger: - supp.pdf)<br>[:camera:](https://icml.cc/Conferences/2019/ScheduleMultitrack?event=5038) |
      • :ledger: - supp.pdf) |
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    • Awesome Fairness Research Materials

      • :memo: - machine-learning-practical-challenges-and-lessons-learned-kdd-2019-tutorial) |
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      • :ledger: - O7A) | [:memo:](https://openreview.net/forum?id=Hkekl0NFPr) |
      • :ledger: - AuthorFeedback.pdf)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/9114-metareview.html)[:camera:](https://www.cs.cmu.edu/~hzhao1/papers/NIPS2019/fairness_poster.pdf)[:camera:](https://www.cs.cmu.edu/~hzhao1/papers/NIPS2019/fairness_slides.pdf)[:keyboard:](http://papers.nips.cc/paper/9698-inherent-tradeoffs-in-learning-fair-representations-supplemental.zip) |
      • :ledger: - supp.pdf)[:keyboard:](https://github.com/steven7woo/fair_regression)[:keyboard:](https://github.com/fairlearn/fairlearn)[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-11-30-4854-fair_regression.pdf) |
      • :ledger: - supp.pdf)[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-11-25-4853-flexibly_fair_r.pdf) |
      • :ledger: - supp.pdf)[:keyboard:](https://github.com/JMLToulouse/FairLearning)[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-12-00-4857-obtaining_fairn.pdf) |
      • :ledger: - supp.pdf)[:camera:](https://slideslive.com/38916902/fairness?t=2645) |
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      • :ledger: - Du/bias-in-wat) |
      • :ledger: - project-fairness) |
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      • :ledger: - supp.pdf)[:keyboard:](https://github.com/mkusner/reducing_discriminatory_impact)<br>[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-12-15-4860-making_decision.pdf)[:camera:](https://www.dropbox.com/s/p2pnf5uiurd699d/MDRDI_2019.pdf) |
      • :ledger: - counterfactual-fairness-supplemental.zip)[:keyboard:](https://github.com/mkusner/counterfactual-fairness)[:camera:](http://mkusner.github.io/posters/CF_Poster.pdf)[:camera:](https://www.facebook.com/nipsfoundation/videos/1554741734617060/) |
      • :ledger: - /view) |
      • :ledger: - batch-selection-for-model-fairness?ref=search)[:camera:](https://docs.google.com/presentation/d/1IfaYovisZUYxyofhdrgTYzHGXIwixK9EyoAsoE1YX-w/edit#slide=id.gc7af2f2839_0_0)[:keyboard:](https://github.com/yuji-roh/fairbatch) |
      • :ledger: - Review.html)[:memo:](https://proceedings.neurips.cc/paper/2020/file/07fc15c9d169ee48573edd749d25945d-AuthorFeedback.pdf)[:memo:](https://proceedings.neurips.cc/paper/2020/file/07fc15c9d169ee48573edd749d25945d-MetaReview.html)[:ledger:](https://proceedings.neurips.cc/paper/2020/file/07fc15c9d169ee48573edd749d25945d-Supplemental.zip)[:keyboard:](https://github.com/google-research/google-research/tree/master/group_agnostic_fairness) |
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      • :ledger: - supp.pdf)[:keyboard:](https://github.com/matthklein/equalized_odds_under_perturbation) |
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      • :ledger: - learning-fairness-in-multi-agent-systems-supplemental.zip)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/7755.html)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/7755-AuthorFeedback.pdf)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/7755-metareview.html)[:keyboard:](https://github.com/PKU-AI-Edge/FEN) |
      • :ledger: - AuthorFeedback.pdf)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/8969-metareview.html)[:camera:](https://github.com/ebagdasa/differential-privacy-vs-fairness/blob/master/poster/neurips_diffprivacy_fairness.pdf)[:keyboard:](https://github.com/ebagdasa/differential-privacy-vs-fairness) |
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      • :ledger: - supp.pdf)[:keyboard:](https://github.com/ustunb/dcptree)[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-11-35-4855-fairness_withou.pdf) |
      • :ledger: - Fair-Clustering)[:camera:](https://slideslive.com/38917643/fairness) |
      • :ledger: - fairness-full.pdf) |
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      • :ledger: - supp.zip)[:keyboard:](https://worksheets.codalab.org/worksheets/0x17a501d37bbe49279b0c70ae10813f4c/) |
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    • Other Awesome Research Materials

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      • :ledger: - 9cA) | |
      • :camera: - for-NLP)[:camera:](https://vimeo.com/439776761)[:camera:](https://vimeo.com/439777686) |
      • :ledger: - EM20C5JEQIKNtBYVtA) | |
      • :ledger: - %E5%AE%9A%E7%A8%BF%E7%89%88.pdf) | | |
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      • :ledger:
      • :ledger:
      • :ledger:
      • :ledger: - functions-in-deep-learning-are-fragile) |
      • :ledger: - supp.pdf) |
      • :ledger: - Review.html)[:memo:](https://proceedings.neurips.cc/paper/2020/file/e6385d39ec9394f2f3a354d9d2b88eec-AuthorFeedback.pdf)[:memo:](https://proceedings.neurips.cc/paper/2020/file/e6385d39ec9394f2f3a354d9d2b88eec-MetaReview.html)[:memo:](https://ai.googleblog.com/2021/02/tracin-simple-method-to-estimate.html)[:memo:](https://drive.google.com/file/d/1zL3hwW4wFru49_-zwpmliRDdCahjumXa/view) | [:ledger:](https://proceedings.neurips.cc/paper/2020/file/e6385d39ec9394f2f3a354d9d2b88eec-Supplemental.pdf)[:keyboard:](https://github.com/frederick0329/TracIn) |
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      • :ledger: - benchmark.org/) |
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      • :ledger: - Reviews.html)[:memo:](https://proceedings.neurips.cc/paper/2019/file/a78482ce76496fcf49085f2190e675b4-AuthorFeedback.pdf)[:memo:](https://proceedings.neurips.cc/paper/2019/file/a78482ce76496fcf49085f2190e675b4-MetaReview.html) | [:ledger:](https://proceedings.neurips.cc/paper/2019/file/a78482ce76496fcf49085f2190e675b4-Supplemental.zip)[:keyboard:](https://github.com/kohpangwei/group-influence-release)[:keyboard:](https://worksheets.codalab.org/worksheets/0xfed2ae0b9e5b44b7a1af8096365592a5)[:camera:](https://drive.google.com/file/d/1ZLY_9Wsk9MA0kXAoJDd6o1gbLvHhyPAn/view) |
      • :ledger: - Reviews.html)[:memo:](https://blog.ml.cmu.edu/2019/04/19/representer-point-selection-explain-dnn/) | [:ledger:](https://proceedings.neurips.cc/paper/2018/file/8a7129b8f3edd95b7d969dfc2c8e9d9d-Supplemental.zip)[:camera:](https://github.com/wnstlr/Representer-Point-Poster/blob/master/poster.pdf)[:keyboard:](https://github.com/chihkuanyeh/Representer_Point_Selection) |
      • :ledger: - supp.pdf)[:keyboard:](https://github.com/kohpangwei/influence-release)[:keyboard:](https://worksheets.codalab.org/worksheets/0x2b314dc3536b482dbba02783a24719fd/)[:camera:](https://drive.google.com/file/d/1ZLY_9Wsk9MA0kXAoJDd6o1gbLvHhyPAn/view) |
      • :ledger: - Supplemental.pdf)[:memo:](https://proceedings.neurips.cc/paper/2020/file/1e14bfe2714193e7af5abc64ecbd6b46-Review.html)[:memo:](https://proceedings.neurips.cc/paper/2020/file/1e14bfe2714193e7af5abc64ecbd6b46-AuthorFeedback.pdf)[:memo:](https://proceedings.neurips.cc/paper/2020/file/1e14bfe2714193e7af5abc64ecbd6b46-MetaReview.html)[:keyboard:](https://pluskid.github.io/influence-memorization/) |
      • :ledger: - random-labels)[:camera:](https://pluskid.org/files/slides/ICLR2017.key)[:camera:](https://pluskid.org/files/slides/ICLR2017-Poster.pdf) |
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      • :ledger: - supp.pdf) |
      • :ledger: - 3-319-08010-9_3) | | |
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    • Awesome Blockchain Research Materials

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      • :ledger: - group/blob/master/papers/notes/%E4%BB%8E%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86%E7%9A%84%E8%A7%92%E5%BA%A6%E7%9C%8B%E5%8C%BA%E5%9D%97%E9%93%BE%E7%B3%BB%E7%BB%9F.pdf) | [:floppy_disk:](http://www.mzhtechnologies.com/paper/mzh_blockchain_whitepaper_pub.pdf) |
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      • :ledger: - group/blob/master/papers/notes/%E5%8C%BA%E5%9D%97%E9%93%BE%E9%9A%90%E7%A7%81%E4%BF%9D%E6%8A%A4%E7%A0%94%E7%A9%B6%E7%BB%BC%E8%BF%B0.md) | |
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Categories
Diving In 162
Sub Categories
Awesome Privacy Protection Research Materials 85 Awesome Fairness Research Materials 35 Other Awesome Research Materials 26 Awesome Federated Learning Research Materials 10 Awesome Blockchain Research Materials 6