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Found 3 papers, 1 papers with code
Spectral Adapter: Fine-Tuning in Spectral Space
Recent developments in Parameter-Efficient Fine-Tuning (PEFT) methods for pretrained deep neural networks have captured widespread interest.
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
In this work we study the enhancement of Low Rank Adaptation (LoRA) fine-tuning procedure by introducing a Riemannian preconditioner in its optimization step.
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization
Diffusion models are gaining widespread use in cutting-edge image, video, and audio generation.
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