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Found 3 papers, 2 papers with code
Diffusion Models Beat GANs on Image Classification
We explore optimal methods for extracting and using these embeddings for classification tasks, demonstrating promising results on the ImageNet classification task.
Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets
Many existing works have made great strides towards reducing racial bias in face recognition.
Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework
We demonstrate that the marriage of KD and the VI techniques inherits compression properties from the KD framework, and enhances levels of sparsity from the VI approach, with minimal compromise in the model accuracy.
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