I often complain that the year went by so fast or that I again got one year older without achieving much or experiencing anything great. 2022 was vastly different and felt like a monumental year that I will remember very fondly in the future...🎆
Finally got into Legacy #mtgjp with UWR Control or rather "UWR AllenSchlecht" as @NiklasHoltmann calls it. Had a lot of fun and made Top8 at @hareruya_mtg . Looking forward to more!
We have formed a new global partnership with @AxelSpringer and its news products.
Real-time information from @politico, @BusinessInsider, European properties @BILD and @welt, and other publications will soon be available to ChatGPT users.
ChatGPT’s answers to user queries will include attribution and links to full articles for transparency and further information. https://t.co/MVxjDrY73h
Dank #IchbinHanna und #WissZeitVG bekomme ich als promovierter Wissenschaftler mit ner 100% Stelle in Deutschland nicht einmal eine dämliche 0% (!!!!!) #Finanzierung (aufgrund des befristeten Arbeitsvertrags).
Requiring a publication in NeurIPS or the like before applying to PhD is toxic.
It drives subpar submission to conferences. It selects privileged background.
Senior Academics, please fight this, for the sake of the community
📕☺️ Open-access book chapter: Evaluating Machine Learning Models and Their Diagnostic Value
with @oliviercolliot
We combine wisdom from machine-learning and biostats for thorough machine-learning evaluation, including metrics choice and uncertainty
https://t.co/svzsaX4gaS
We're launching Keras Core, a new library that brings the Keras API to JAX and PyTorch in addition to TensorFlow.
It enables you to write cross-framework deep learning components and to benefit from the best that each framework has to offer.
Read more: https://t.co/xmmxBfSZgh
True -- deep learning folks even redefined "normalization" (of vectors) to mean "standardization", instead of the actual definition of "make it unit-norm"... which is wild
True -- deep learning folks even redefined "normalization" (of vectors) to mean "standardization", instead of the actual definition of "make it unit-norm"... which is wild
@yanaiela Alternativly, there is code and you happily start reading only to find out that key details are missing or have been obfuscated. Or it doesn't work at all and the issues are already piling up😵💫
I just launched https://t.co/e9O11AysBt, a simple semantic search engine over virtually all ML papers published on arXiv since 2012 (more than 250,000!).