🎉Happy to announce that our paper – SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors has been accepted for an oral presentation at WANT @icmlconf!✨#ICML2024#MachineLearning
Paper: https://t.co/adiv1AGS6L
🚀 Exciting new paper alert! Achieve up to 96% full performance with just 0.006-0.25% of trainable parameters!✨ How? It’s all in the singular vectors! Introducing 🎯SVFT: Singular Vectors guided Fine-Tuning for PEFT. Here’s a quick breakdown!🧵 #AI#MachineLearning#NLP#CV