Discussing machine learning interpretability with people who believe performance on test data is everything. pic.twitter.com/VutIbPXgGk
— Christoph Molnar (@ChristophMolnar) July 16, 2020
Discussing machine learning interpretability with people who believe performance on test data is everything. pic.twitter.com/VutIbPXgGk
— Christoph Molnar (@ChristophMolnar) July 16, 2020
As part of our commitment to democratize #AI, @GoogleOrg is making a $2.5M grant & joining @RockefellerFdn, @IDRC_CRDI & @fair_forward to co-found the Lacuna Fund, a groundbreaking consortium to deliver equity-first open datasets:
— Jeff Dean (@🏡) (@JeffDean) July 14, 2020
Learn more at: https://t.co/2odbO5DA9W
Jirka, Lead contributor for Lightning, and Zach, ML Engineer at Google, discuss how PyTorch Lightning became the first ML framework to run continuous integration on TPUs in this blog post. https://t.co/zk78fnTF2s
— PyTorch (@PyTorch) July 10, 2020
Sharing one idea I found useful for paper writing:
— Jia-Bin Huang (@jbhuang0604) July 6, 2020
Do NOT ask people to solve correspondence problems.
Some Dos and Don'ts examples below:
*Figures*: Don't ask people to match (a), (b), (c) ... with the descriptions in the figure caption. pic.twitter.com/tc7f8pVZlk
Since people asked, here is the code https://t.co/pmPFDeVOYD
— Chris Albon (@chrisalbon) July 4, 2020
“To put it mildly, the competition seems absolutely insane to me, and seems to be exponentially increasing. Many top researchers claim they wouldn't have made it if the competition was like this when they started.” https://t.co/Mucs68sKNc
— hardmaru (@hardmaru) July 4, 2020
r/MachineLearning (not just Twitter) has a toxicity problem https://t.co/aq2nkznvIv
— /MachineLearning (@slashML) July 3, 2020
The ML community is in no way perfect. But in its majority it's made of good people. Don't get discouraged by what you may see on Reddit - this would be like judging the food of a restaurant by sampling its garbage cans.
— François Chollet (@fchollet) July 2, 2020
For what it's worth, no researcher I know posts on Reddit.
Want $5000 in management training? Here you go:
— Chris Albon (@chrisalbon) July 2, 2020
When it comes to team culture. Don’t tell people what you want the culture to be. Instead, model the behavior you want to see in your team.
Want kindness? Display kindness. Want creativity? Display creativity. Etc.
Great thread. Since DeOldify was mentioned on there I will say this: There's a lot of social pressure to open source everything but the fact is that artificial scarcity (not giving away everything for free) gives you a chance to actually make money on your code most directly. https://t.co/ixmFSqrpjI
— Jason Antic (@citnaj) July 1, 2020
... articles downloaded from Sci-hub were cited 1.72 times more than papers not downloaded from Sci-hub and that the number of downloads from Sci-hub was a robust predictor of future citations https://t.co/LiX0Gs555b pic.twitter.com/Z31QehdRvG
— Sci Hub (@Sci_Hub) June 30, 2020
2/ Well I also had enough experience in software to know that a lot of true innovation and advances simply require smart choices and dedication to the problem. More controversially- I'm strongly of the opinion that software by large groups is hampered by group think.
— Jason Antic (@citnaj) June 29, 2020