How Over 200K Individuals Upleveled their Data and AI Expertise with Databr...
@databricks
We’ve had over 200K enroll in the Databricks Certification and Training programs 🌟
So many of you are growing your expertise! To help you show off your new skills, we’re excited to introduce digital badges. Learn more👇 t.co/6ElL0KjSNc
Towards Practical Second Order Optimization for Deep Learning | OpenReview
New AI research to help predict COVID-19 resource needs from a series of X-...
@mattmucklm
We published a paper investigating MoCo-based self-supervised pretraining to predict COVID patient deterioration based on sequences of X-ray images. t.co/SjW6cEkZ9k
New AI research to help predict COVID-19 resource needs from a series of X-...
New AI research to help predict COVID-19 resource needs from a series of X-...
@ylecun
Facebook AI & NYU Langone Health are open-sourcing a system that can predict if a Covid patient will require intensive care, from chest x-rays, up to four days in the future.
Paper: t.co/zA1Ig3i6WA
Github: t.co/mSe18J1lLk
Blog post: t.co/5yl2KJ1QHp
New AI research to help predict COVID-19 resource needs from a series of X-...
@alexvoica
It can be challenging for medical experts to predict the course of COVID-19 in a patient.
Today, in partnership with @NYULangone, we are developing AI models that use chest X-rays to predict a patient’s condition so hospitals can plan ahead:
t.co/rLiudGTcNn
[2101.04909] COVID-19 Deterioration Prediction via Self-Supervised Represen...
@ylecun
Facebook AI & NYU Langone Health are open-sourcing a system that can predict if a Covid patient will require intensive care, from chest x-rays, up to four days in the future.
Paper: t.co/zA1Ig3i6WA
Github: t.co/mSe18J1lLk
Blog post: t.co/5yl2KJ1QHp
[2101.04909] COVID-19 Deterioration Prediction via Self-Supervised Represen...
Akira’s ML News #Week3, 2021. Here are some of the papers and… | by Akihiro...
@AkiraTOSEI
I post weekly ML report blog.
An interesting topic is the following:
- Fast training of large-scale models by switching layers for each token.
- High performance generative models by reduce differences in frequency space.
t.co/oMK9WmHsYM
The Joint Conference of the 59th Annual Meeting of the Association for Comp...
@aclmeeting
Ready to submit to ACL-IJCNLP 2021? You can go to: t.co/JFMq7Ejk5T The abstract due is Jan 25, 2021 and paper due Feb 1, 2021. For more details, check the abstract form: t.co/6Jpo4TDah3 and paper submission form: t.co/uwUBNtYmlK
Practical Real Time Recurrent Learning with a Sparse Approximation | OpenRe...
@erich_elsen
So our paper (t.co/FSwgtsKm64) that was _desk_ rejected from NeurIPS was accepted, basically without changes, as a spotlight to ICLR. 🤔 Had one of my best and most productive conversations with this set of reviewers -- big thanks!
12 Best Machine Learning Books For Beginners | Book Riot
@BookRiot
If you have “expand my tech progress” on your 2021 to-do list, this list is for you: t.co/71QktICEKF
12 Best Machine Learning Books For Beginners | Book Riot
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator |...
@hillbig
For the gradient estimation of NN with discrete latent variables, they apply Rao-Blackwellization to straight-through Gumbel-softmax to further reduce the variance. Effective in particular at small batch sizes and low temperatures. t.co/pkXI3AA5uZ
@hillbig
For modeling dynamic environments, Recurrent Independent Mechanisms (RIMs) use a set of modules that operate independently and use attentions to read from the inputs, activate RIMs, and communicate between RIMs. Realization of the sparse factor graph. t.co/HYTO40OVvK
GitHub - datastacktv/data-engineer-roadmap: Roadmap to becoming a data engi...
@tkasasagi
interviewer: Welcome, can I get you coffee or anything? Do you need a break?
me: No,I've probably had too much coffee already!
interviewer: Great, great. And are you OK with writing code on the whiteboard?
me:It's the only way I code!
interviewer: ...
t.co/VNGWErsYl0