⚡️ SLORR: Simple and Efficient In-Training Low-Rank Regularization — 11 июля 2026 г. в 11:01:07.235

⚡️ SLORR: Simple and Efficient In-Training Low-Rank Regularization 📝 Суть: Low-rank factorization is widely used to compress neural networks, but modern models are often not naturally amenable to aggressive factorization without significant accuracy loss. Existing training-t 🎯 Почему важно: Следите за развитием. 📄 ArXiv | 🔗 http://arxiv.org/abs/2607.08754v1