🧵: Yesterday we revealed how YouTube enabled advertisers to build ad campaigns around hate terms.
— Julia Angwin (@JuliaAngwin) April 9, 2021
Today we reveal how YouTube blocked advertisers from building ad campaigns around social justice terms such as “Black Lives Matter.”https://t.co/dTXyDr5jDY pic.twitter.com/qSFqGMCevm
InfinityGAN: Towards Infinite-Resolution Image Synthesis
— AK (@ak92501) April 9, 2021
pdf: https://t.co/HrNqpbxnhA
abs: https://t.co/aZX57FbWS5
project page: https://t.co/KhKCzlpC8k pic.twitter.com/tE7UMTsCyE
SiT: Self-supervised vIsion Transformer
— AK (@ak92501) April 9, 2021
pdf: https://t.co/LUmX5fyCbn
abs: https://t.co/ms4ksWdHnD pic.twitter.com/0ALi1YPLTF
Excellent example of low-resource ML research showing AlphaZero scaling laws on a single RTX 2080. https://t.co/MGgwzKJPJq
— Eric Jang 🇺🇸🇹🇼 (@ericjang11) April 8, 2021
Interesting reproducibility study by @philipvollet to conclude that: ELECTRA small (14M) can be easily run on a single GPU with great performances! @clark_kev @quocleix @chrmanning
— Thang Luong (@lmthang) April 8, 2021
Reproducibility paper: https://t.co/UAe56B74EA
ELECTRA paper: https://t.co/1GW6scqTIv https://t.co/DoPGGMf3ro
Regularizing Generative Adversarial Networks under Limited Data
— AK (@ak92501) April 8, 2021
pdf: https://t.co/oBmu2v1yyp
abs: https://t.co/dRpZkvKnt4
github: https://t.co/OkV7RZ3xoC
training GAN models to achieve sota performance when only limited training data of the ImageNet benchmark is available pic.twitter.com/AQkCMH3J8g
This is great advice. And as a manager you should expect all your reports to be actively interviewing all the time. Part of your job is making it worthwhile for them to stay (it won't always be possible). https://t.co/gstD8oqnbi
— ChrisAlbon.com (@chrisalbon) April 8, 2021
Chart by @TheEconomist shows the development of house prices in seven developed economies over the last 20 years. Living in Australia I see major reform inevitable in the near future to improve housing affordability (esp. for low income earners). Source: https://t.co/SdHPT0URU5 pic.twitter.com/1Qfuq6caLG
— Simon Kuestenmacher (@simongerman600) April 7, 2021
Need more fine-tuning data? A prompt is worth a thousand data points. @srush_nlp + @Fluke_Ellington show steering models with GPT3-style prompts during fine-tuning outperforms standard linear classifiers in their #naacl2021 paper. See our interactive blog https://t.co/lIDHiq2359 pic.twitter.com/n1gWC2Xf4t
— Hugging Face (@huggingface) April 7, 2021
🚨 New cranky position paper alert! 🚨
— Prof. Sam Bowman (@sleepinyourhat) April 7, 2021
(#naacl2021, mini-thread, https://t.co/wRvhZ70bbV) pic.twitter.com/JQwSAoeb4E
The single most heartbreaking statistic in this whole covid era is the 17% increase in 15-19 year old deaths in the US in 2020
— Teddy Petrou (@TedPetrou) April 6, 2021
Around 70 years of life are lost with each extra death compared to just a few years at most for a typical covid death. Why are we sacrificing the young? pic.twitter.com/BDXakpdR3g
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
— AK (@ak92501) April 6, 2021
pdf: https://t.co/ncLWJgbf6d
abs: https://t.co/ozkZ6WgNRl pic.twitter.com/N2bJv4kd6j
