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SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space
In contrast to previous shape reconstruction methods that align the input to a regular grid, we operate directly on the irregular point cloud.
Learning Augmentation Distributions using Transformed Risk Minimization
We propose a new \emph{Transformed Risk Minimization} (TRM) framework as an extension of classical risk minimization.
Detecting Adversarial Examples in Convolutional Neural Networks
This paper focuses on the detection of adversarial examples, which are created for convolutional neural networks that perform image classification.
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