Merging LoRA weights? You might be throwing away a powerful security feature! 🤯
A new paper shows unmerged LoRA modules are a game-changer for detecting near-OOD data.
I wrote a blog post breaking down the idea. Check it out!
🔗: www.mostafaelaraby.com/paper%20revi...

Go beyond the data! 🧠 Neural network weights are a rich, untapped resource.
My new blog post dives into Weight Space Learning, exploring how we can analyze models to predict performance and combine them to build better ones.
#ML #DNN #Weight_Space
mostafaelaraby.com/paper%20revi...

A picture is worth a thousand words. 📸

While the standard feature space (left) is messy, our gradient-aware space (right) creates a much clearer separation between In-Distribution (blue) and OOD (red/orange) samples!

#DataScience #ComputerVision

🚀 We're excited to introduce GROOD! A new, training-free method to help models know what they don't know (aka OOD Deteciton).

🔗 Paper: openreview.net/forum?id=2V7...
💻 Code: github.com/mostafaelara...
🎥 Video Overview: www.youtube.com/watch?v=n4-g...