Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models
The paper by Joseph Goodier and Neill D. F. Campbell focuses on Out-of-Distribution (OOD) detection with Denoising Diffusion Probabilistic Models (DDPMs). OOD detection is crucial in machine learning to identify…
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