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Found 3 papers, 1 papers with code
Blue noise for diffusion models
In this paper, we introduce a novel and general class of diffusion models taking correlated noise within and across images into account.
Efficient Gradient Estimation via Adaptive Sampling and Importance Sampling
Nevertheless, existing algorithms have struggled to efficiently integrate importance sampling into machine learning frameworks.
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
To the best of our knowledge, no technique has been proposed to learn a sequence of mixed similar and dissimilar tasks that can deal with forgetting and also transfer knowledge forward and backward.
Ranked #1 on
Continual Learning
on F-CelebA (10 tasks)
