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cs.LG2026
NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training
Fang Wu, Haokai Zhao, Da Xing +18
Training a diffusion model involves two sources of randomness for each data sample: the timestep and the Gaussian noise realization. The timestep has been studied extensively throu…
cs.LG2024★ 2 cited
Spectraformer: A Unified Random Feature Framework for Transformer
Duke Nguyen, Du Yin, Aditya Joshi +1
Linearization of attention using various kernel approximation and kernel learning techniques has shown promise. Past methods used a subset of combinations of component functions an…