Rezultati pretraživanja
  1. prije 24 sata

    "The measure and mismeasure of fairness: a critical review of fair machine learning" Corbett-Davies & Goel, If we want fair machine learning models, then first we're going to need a working definition of 'fair'...

  2. 2. velj
    Odgovor korisnicima

    I'd submit and are a great starting points of this :) Papers We Love has grown as well, mushrooming into a nice metacommunity with multiple chapters across multiple cities.

  3. Today, covers "Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration" from ACM SoCC'19:

  4. 31. sij

    "Seamless offloading of web app computations from mobile device to edge clouds via HTML5 web worker migration" Jeong et al., Web workers let you offload computation to another thread... and now to the edge too!

  5. 29. sij

    "Narrowing the gap between serverless and its state with storage functions" Zhang et al., 'Stored Functions' for serverless workload data-processing efficiency

  6. Yesterday, covered "Reverb: Speculative Debugging for Web Applications," from ACM SOCC’19:

  7. 27. sij

    "Reverb: speculative debugging for web applications" Netravali & Mickens, Best paper award winner at

  8. 22. sij

    "Trade-offs under pressure: heuristics and observations of teams resolving internet service outages" Allspaw, (Part 1) A foundation for reasoning about the way teams of operators resolve incidents.

  9. 6. sij
  10. Odgovor korisniku/ci
  11. 10. pro 2019.

    Grad student , is working on the Twizzler OS project with and . Read about it in 's CS blog!

  12. 6. pro 2019.

    Today, covers our attempt at benchmarking spreadsheet systems, trying to figure out what they are good for and what are some possible optimizations.

  13. takes a look at "Efficient Lock-free Durable Sets," from ACM OOPSLA '19:

  14. takes a look at "Mergeable Replicated Data Types," from ACM OOPSLA ’19. This will be the first of two posts in TMP diving into this extensive work that distributed systems practitioners and researchers may enjoy perusing:

  15. 20. stu 2019.

    This idea of local-first software (as highlighted by in ) is really interesting and seems quite powerful - why didn't I think of this? "Local-first software: you own your data, in spite of the cloud"

  16. 19. stu 2019.
  17. 4. stu 2019.

    "An analysis of (the) performance evolution of Linux's core operations" Ren et al. SOSP'19 Is your Linux system as fast as it used to be? The impact of security fixes, new features, and configuration changes over time...

  18. Simple, interpretable models that can incorporate the requirements of domain experts ahead of time? Yes please! Loving this week's featured papers .

  19. Today, "The Morning Paper" covers "Optimized Risk Scores," presented at ACM KDD ’17.

  20. 1. stu 2019.

    "Optimized risk scores" Ustun & Rudin, KDD'17 Creating optimal, human usable, risk-scoring models.

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