Qualcomm incorporated (20250124551). EFFICIENT DIFFUSION MACHINE LEARNING MODELS
EFFICIENT DIFFUSION MACHINE LEARNING MODELS
Organization Name
Inventor(s)
Amirhossein Habibian of Amsterdam NL
Risheek Garrepalli of San Diego CA US
Fatih Murat Porikli of San Diego CA US
EFFICIENT DIFFUSION MACHINE LEARNING MODELS
This abstract first appeared for US patent application 20250124551 titled 'EFFICIENT DIFFUSION MACHINE LEARNING MODELS
Original Abstract Submitted
certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. during a first iteration of processing data using a first denoising backbone of a teacher diffusion machine learning model, a first latent tensor is generated using a lower resolution block of the first denoising backbone. during a first iteration of processing data using a second denoising backbone of a student diffusion machine learning model, a second latent tensor is generated using an adapter block of the second denoising backbone. a loss is generated based on the first and second latent tensors, and one or more parameters of the adapter block are updated based on the loss.