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Found 3 papers, 1 papers with code
Automatic Discovery of Visual Circuits
To date, most discoveries of network subcomponents that implement human-interpretable computations in deep vision models have involved close study of single units and large amounts of human labor.
A Multimodal Automated Interpretability Agent
Interpretability experiments proposed by MAIA compose these tools to describe and explain system behavior.
FREDSR: Fourier Residual Efficient Diffusive GAN for Single Image Super Resolution
The model follows the characteristics of the given dataset, resulting in lower generalizeability but higher performance on tasks such as real time up-scaling.
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