CMU Researchers Unveil Diffusion-TTA: Elevating Discriminative AI Models with Generative Feedback for Unparalleled Test-Time Adaptation

Diffusion models are used for generating high-quality samples from complex data distributions. Discriminative diffusion models aim to leverage the principles of diffusion models for tasks like classification or regression, where the goal is to predict labels or outputs for a given input data. By leveraging the principles of diffusion models, discriminative diffusion models offer advantages […]

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