wwydmanski @wwydmanski@qoto.org
AI guy. Tooting interesting publications and statistics that catch my eye
Joined May 2021
There is a similar, less known method called Invariant Information Clustering which also uses augmented images as a positive anchor
ICML 2021 is going to show us a new self-supervised embedding algorithm called Barlow Twins. It's name is ofc a reference to the siamese networks, but the key novelty is lack of contrastive samples.
Preprint by Zbontar et al.:
https://arxiv.org/abs/2103.03230
RT @TwitterEng
Learn about fusing Elasticsearch with neural networks to identify data.
We discuss how we annotated our data to a defined taxonomy by leveraging machine learning in our data platform.
https://blog.twitter.com/engineering/en_us/topics/insights/2021/fusing-elasticsearch-with-neural-networks-to-identify-data.html
wwydmanski
boosted
π³π±
You're not famous until you are wiki feet famous.
wwydmanski
boosted
As a researcher, what are some things that you find annoying when searching the scientific literature? What could be improved?
RT @IARAInews
Our director Dr π¦π²π½π½ ππΌπ°π΅πΏπ²πΆππ²πΏ believes that the subject of AI deserves more attention from industry leaders.
βThe manufacturing industry, mechanical engineering, plant engineering, etc.β this is where AI is going to be injectedβ
π:https://www.hydraulicspneumatics.com/news/article/21163159/hannover-messe-adapts-and-changes
#AI #ML
Local random walk is a basis for many #MachineLearning algorithms. However, there is an interesting alternative - maximum entropy random walk.
Overview from TFML by J.Duda: https://tfml.gmum.net/assets/files/2015/Duda.pdf
Application in medical imaging by Galinsky&Frank: https://par.nsf.gov/servlets/purl/10063685
RT @IARAInews
Join our director @m_k_kopp at the 'b2b SoftWareDays21' event and learn about the recent developments in machine learning!
π
10.05 at 11:50 AM CET
πFind out more: https://2021.b2bsoftwaredays.com/page-3741
#SWDays21 #ML #AI @ClaraNeppel @KHimpele @niki_popper @TheStoryDude @MartinaHartner
If you've had some problems with accessing the #CAMDAchallenge data then everything should be fixed by now.
You will find the direct link at:
http://data.camda.info/contest_dataset
Topics of our challenges include: #COVID19 #NLP #Bioinformatics #CancerResearch
AI guy. Tooting interesting publications and statistics that catch my eye
Joined May 2021
