Mathematical reasoning aims to infer satisfiable solutions based on the given mathematics questions.
In order to take advantage of the most effective gradient-based attack, a differentiable sample module that back-propagate the gradient of point cloud to mesh is introduced.
Some deep neural networks are invariant to some input transformations, such as Pointnet is permutation invariant to the input point cloud.
As 3D point cloud analysis has received increasing attention, the insufficient scale of point cloud datasets and the weak generalization ability of networks become prominent.
Ranked #2 on 3D Point Cloud Classification on ModelNet40-C
Mixed Boolean-Arithmetic (MBA) expressions involve both arithmetic calculation (e. g., plus, minus, multiply) and bitwise computation (e. g., and, or, negate, xor).
In particular, we extend the ONS algorithm with the trick of expected gradient and develop a novel second-order online learning algorithm, i. e., Online Newton Step with Expected Gradient (ONSEG).