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Large diffusion models have become mainstream generative models in both academic studies and industrial AIGC applications.
Note sur une méthode de résolution des équations normales provenant de l’application de la méthode des moindres carrés à un système d’équations linéaires en nombre inférieur à celui des inconnues (procédé du commandant cholesky)
Commandant Benoit · 1924
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Zero-shot classification with discriminative semantic representation learning
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Learning deep representations by mutual information estimation and maximization
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Robust inference via generative classifiers for handling noisy labels
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Stable video diffusion: Scaling latent video diffusion models to large datasets
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Robust classification via a single diffusion model
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Text-to-image diffusion models are zero-shot classifiers
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Pervasive label errors in test sets destabilize machine learning benchmarks
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Learning transferable visual models from natural language supervision
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Your diffusion model is secretly a zero-shot classifier
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