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Showing 1 to 2 of 2 for “"Generalization in Machine Learning"”.
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Methods for Enhancing Robustness and Generalization in Machine Learning
We propose two methods for improving subgroup robustness and out of distribution generalization of machine learning models. First we introduce a formulation of Group DRO with soft group assignment. This formulation can be applied to data with noisy or uncertain group labels, or when only a small …
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Data-efficient Neural Appearance Manipulations
Appearance manipulation techniques are indispensable for a wide range of applications that seek to create immersive and interactive experiences, including filmmaking, aug- mented/virtual reality (AR/VR), product design, and advertising. These techniques involve adjustments to lighting, material …