@tunguz@FrankRHutter@RichmanRonald@rasbt "xgboost" can mean many different things depending on feature engineering and tuning..
tabnet also shared this kind of benchmark in the past and it didn't last.
@tunguz do you plan to challenge these numbers by any chance ?
@videodrome@artnet@briankboucher Btw the title of the article is 200% stupid since the fact that computer generated images can fool people has very little to do with AI art..Years have passed but most people commenting on this still have no clue about ML and fail to understand the true novelty of this approach
I stopped doing CV research because I saw the impact my work was having. I loved the work but the military applications and privacy concerns eventually became impossible to ignore.
https://t.co/DMa6evaQZr
Wow wow wow! @GoogleColab now supports the fastai library directly :D That means you can run all the lessons at https://t.co/aQsW5afov6, and do your own research and development with fastai, all for free. That's... that's just amazing.
To get started: https://t.co/wop4GmJYSN
“So you want to be a Research Scientist” by Vincent Vanhoucke @GoogleAI:
•Your will spend a career working on things that don’t work
•Your work will be obsolete the minute you publish it
•Your entire career will largely be measured by 1 number (H-Index)
https://t.co/rDROdZFxs3
New NLP News: ML on code, Understanding RNNs, Deep Latent Variable Models, Writing Code for NLP Research, Quo vadis, NLP?, Democratizing AI, ML Cheatsheets, Spinning Up in Deep RL, Papers with Code, Unsupervised MT, Multilingual BERT https://t.co/6s2y4ABO2c via @revue
Results of the NIPS Adversarial Vision Challenge are in! Common themes are low-frequency versions of the boundary attack, ensembling of defenses and new adversarial training schemes. Find all the details at https://t.co/LloXH3Y5v5