Very interesting thread on plagiarism in machine learning papers at top conferences in this post on r/ML
— hardmaru (@hardmaru) September 26, 2021
The comments are especially quite revealing, with links to detailed discussions on Chinese discussion forum Zhuanlan Zhihu, in case you read Chinese.https://t.co/RD5VkUfrnx
"Getting angry at people for making mistakes doesn't teach them not to make mistakes.
— Bojan Tunguz (@tunguz) September 11, 2021
It teaches them to hide their mistakes."
I was never a good systems engineer, so I always avoided the topic of compiling and optimizing ML models.
— Chip Huyen (@chipro) September 8, 2021
However, as I work with ML on devices, the topic keeps coming up. So I spent the last 3 months learning about ML compilers.
Here’s what I learned. https://t.co/VNXbUcfJ2h
— hardmaru (@hardmaru) September 4, 2021
I was recently interviewed by @eugeneyan . Probably the most in-depth interview I’ve done so far about my data science (and life) journey. The transcript (isn’t too long) is available here 👇https://t.co/t69MpJ89hY
— Hamel Husain (@HamelHusain) September 3, 2021
The sheer faith required to build a data science team.
— Sean J. Taylor (@seanjtaylor) September 3, 2021
“Let’s hire a bunch of expensive and hard to recruit employees and have them help us get value out our data!”
“How will we know if it’s working?”
“That’s easy, we’ll hire more of them to tell us.”
Life hack: In Helsinki don't carry your wallet as kind strangers will bring it to you 😉 Interesting to read the comments in the source as people tend to agree with the data displayed here. Source: https://t.co/7J3NlJloai pic.twitter.com/ETUoJEvX2Z
— Simon Kuestenmacher (@simongerman600) September 2, 2021
Here's a visual proof that
— Fermat's Library (@fermatslibrary) September 2, 2021
sin2x = 2sinxcosx
cos2x = cos²x−sin²x pic.twitter.com/hSnoMXIwmC
When Netflix starting using machine learning to personalize thumbnails a few years ago, the algorithm learned to target by race. Now it's learned that trashy clickbait works. The only surprise is that it's taken so long. https://t.co/fhv8BRTsRm https://t.co/iU0tdx0y6z
— Arvind Narayanan (@random_walker) August 26, 2021
Back when we had an office @themarkup, our wifi password was “math+tears”
— Julia Angwin (@JuliaAngwin) August 25, 2021
Today’s investigation explains why. @eh_mah_nwel and @lkirchner use math and human stories to reveal entrenched racism in mortgage lending. https://t.co/ApkvJ61ve6
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Challenges and Opportunities in NLP Benchmarking
— Sebastian Ruder (@seb_ruder) August 23, 2021
Recent NLP models have outpaced the benchmarks to test for them. I provide an overview of challenges and opportunities in this blog post.https://t.co/NbVfcwGX8z
Free idea: A Slack plug-in for startups that attaches equity amounts to names:
— ChrisAlbon.com (@chrisalbon) August 20, 2021
Bob (34.6%): “Startup life is about the hustle, let do a 48 hour producthackathon!”
Jake (0.01%): “Uh, I have my a wedding this weekend”
Sally (49.4%): “I thought you believed in this company?”
