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Found 2 papers, 1 papers with code
Unbiased Learning of Deep Generative Models with Structured Discrete Representations
By composing graphical models with deep learning architectures, we learn generative models with the strengths of both frameworks.
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints
We investigate how fairness relaxations scale to flexible classifiers like deep neural networks for images and text.
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