This AI Paper from UCLA Revolutionizes Uncertainty Quantification in Deep Neural Networks Using Cycle Consistency

With the growth of Deep learning, it is used in many fields, including data mining and natural language processing. It is also widely used in solving inverse imaging problems, such as image denoising and super-resolution imaging. The image denoising techniques are used to generate high-quality images from raw data. However, deep neural networks are inaccurate […]

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