Real-Time High-Resolution Background Matting
— AK (@ak92501) December 31, 2020
pdf: https://t.co/XUkgi62KJb
Use it in @runwayml: https://t.co/Qji6opRQeT
Real-Time High-Resolution Background Matting
— AK (@ak92501) December 31, 2020
pdf: https://t.co/XUkgi62KJb
Use it in @runwayml: https://t.co/Qji6opRQeT
"Measurement and Fairness" by @az_jacobs @hannawallach https://t.co/7iKSBPWSTI pic.twitter.com/9EFodGTXWj
— Rachel Thomas (@math_rachel) December 30, 2020
By that measure, MSR's model is somewhat better than T5 or RoBERTa, but it still falls back on stereotypes substantially more often than humans. We know that LMs pick up stereotypes from their training data, and that's not something we can easily counteract. Proceed with caution.
— Prof. Sam Bowman (@sleepinyourhat) December 30, 2020
More progress on the SuperGLUE NLU leaderboard (https://t.co/ipzFoqJiyU), from an MSR team including @AllenLao and @JianfengGao0217, with a larger version of their DeBERTa: https://t.co/8WzBjgk16q pic.twitter.com/PLjVVAxCrO
— Prof. Sam Bowman (@sleepinyourhat) December 30, 2020
After reading @ChristophMolnar 's Interpretable ML book this year, I am always on the lookout for new techniques and implementation. Just saw the DALEX paper today ("Responsible ML with Interactive Explainability and Fairness in Python") Cool stuff: https://t.co/3jgZs5zoOB pic.twitter.com/YHMYQ1kfvo
— Sebastian Raschka (@rasbt) December 30, 2020
Most popular desktop & laptop operating systems from 2003 to 2020. #dataviz
— Randy Olson (@randal_olson) December 29, 2020
Source: https://t.co/tH6sWT4KG6 pic.twitter.com/SQWaWLGjzy
Turns out that Kaggle has been sending people their submissions' private leaderboard results as part of their HTTP responses 💣💥🤯https://t.co/y4e64c7w8V pic.twitter.com/Bq5JC2vYPh
— Jeremy Howard (@jeremyphoward) December 29, 2020
This is just the perfect content at the end of the year: "2020: A Year Full of Amazing AI papers- A Review". Great list of Machine & Deep Learning breakthroughs this year with links to the paper and nice, short video explanations: https://t.co/j444zLPI5L pic.twitter.com/Lvj3U2QQYt
— Sebastian Raschka (@rasbt) December 29, 2020
Blood type distribution by country. #dataviz
— Randy Olson (@randal_olson) December 28, 2020
Source: https://t.co/LiNDON3V3d pic.twitter.com/ByWrp49K21
I use #gganimate in #Rstats to animate cell cycle genes from our 10k gene MERFISH PNAS paper. It's like a #singlecell loading icon!
— Dr. Jean Fan (@JEFworks) December 28, 2020
Code: https://t.co/Lx3x38ipQQ
Paper: https://t.co/1wQIQuGEZR
🥂#BioInformatics #DataScience #DataVisualization #dataviz #bioviz #funwithcode pic.twitter.com/SD15yoIyFe
if you enjoyed #AIDebate2, you might also enjoy
— Dr. Gary Marcus (@GaryMarcus) December 28, 2020
Insights for AI from the Human Mind
By Gary Marcus & Ernest Davis
adapted from https://t.co/C6XodPts1W, just out @CACMmaghttps://t.co/BgSNBxajWO
Trained stylegan on high resolution Islamic mosaic art. You can find all resources below and even do interpolation and other fun stuff.
— Zaid زيد (@zaidalyafeai) December 27, 2020
GitHub: https://t.co/j2jWgW8Mdv
Colab: https://t.co/AziONqbdI2 pic.twitter.com/ekPVIELSr0