@littlekilogram Hi kil0, I found your Suka song in a club using Shazam, but I cant listen to your album in spotify. Do you know why? I'm located in Paris. The album shows blocked.
How can your research @uni_tue benefit from machine learning? Join us all day July 6th for our 2nd workshop on setting up an ML project from scratch. We’ll cover the basics & discuss your application too. Sign up by June 29th at https://t.co/FZ1rRMPV6T! @ml4science
ICRA 2022 AV workshop videos now online:
🚗 keynotes: https://t.co/Bsnqx59LYe
🚗 authors: https://t.co/nPB5oLjSMJ
🚗 all: https://t.co/xxFvUYqi23
Thanks to lead organizer @corina_gurau, virtual org @wulfebw@hu_anth@pondruska@blazejosinski, PC members + authors + attendees!
My younger son will be studying BC calculus next year after doing AB this year. I was looking over some old problems tonight trying to get a sense for the level that BC calculus aims at. Thought this one from 1997 was a nice problem testing conceptual understanding of integrals
Advice I got for my first conference talk from my undergraduate advisor, Bob Frank: the goal of your talk is not to get the audience understand your paper but to get them **read your paper**. This was really amazing advice that I always keep in mind when preparing.
If you are interested in graph neural networks, I made a quick Colab tutorial on performing graph classification with #PyTorch Geometric & @PyTorchLightnin, and then explaining the predictions with GNNExplainer and/or Captum.
https://t.co/Bsf4IsYUOz
Après l'Inde et la Slovaquie, la France accueille le ML Demo.cratization Tour d'@huggingface !
Quand ? 23 Mars à 18h-19h
Pour qui ? étudiants en licence, master, ou toute personne souhaitant découvrir @huggingface
Co-organisé par Scai @Sorbonne_Univ_
https://t.co/shP8xaSPml
I gave a guest lecture on Graph Neural Networks for Carnegie Mellon University's Deep Learning class taught by @rsalakhu. This talk introduces 1) the general concept of Graph Neural Networks and 2) interesting open research problems in the field.
Youtube: https://t.co/deYxepPji1
🚀 Hackathon de #PLN en Español
Además de contribuir al avance del PLN en tu idioma, podrás asistir a charlas impartidas por profesionales, aprender de la mano de mentores y expertas, participar en sorteos y ganar increíbles premios.
➡️ ¡Apúntate ya!
https://t.co/IqiIUimkGN
We organize an *in-person* (hopefully) free thematic day on "Recent Advances in Graph Machine Learning" at Sorbonne Université on March 8th.
Contributions are welcome!
All info at https://t.co/pp6QNYrZBP
(deadline may be extended a bit if necessary)
If you want to learn about Reinforcement Learning, this lecture series from @DeepMind and University College London is worth checking out
https://t.co/v3M7JAyLwm