New paper! Here, we introduce SIDDA: a semi-supervised, out-of-the-box domain adaptation method for classification, built upon optimal transport distances. It leverages existing computational resources (HT torch, geomloss) with minimal computational overhead.
🚨 GIVEAWAY: Let’s do something different on this account for a change — a giveaway for the 2024/25 black away jersey! Two simple requirements:
• Make sure you’re following @pubitysport & @reshadrahman
• Retweet
Ends on November 20th. Good luck! ⚫️🔥
I’ll be at #NeurIPS2023 ML4PS this year! Excited to share some recent work on equivariance and robustness for morphology classifications. If anyone wants to chat anything and everything ML x physics, let’s meet up :)
Paper link: https://t.co/AB2ZGAXUtr
After Leo Messi retired from international football in 2016, a 15-year-old Enzo Fernández wrote him a letter on Facebook.
Six years later and they won the World Cup together 🥹🇦🇷
They told us we were dead. They told us we were delusional. They told us we're playing FIFA. They told us it would never happen.
And yet, both Raphinha & Lewandowski have already been signed. There's more to come, too.
Feels good. Welcome to the best club in the world, Lewy 🔥
🔥 TenZ x Finalmouse Giveaway 🔥
To celebrate my upcoming mouse drop this Sunday we are giving away 10 Starlight Pro - TenZ’s ! (set to drop & unveil on July 17th @ 3pm PST)
To enter:
1. Follow @finalmouse and me
2. RT and like this tweet
GLHF 🥰