Similes play an imperative role in creative writing such as story and
di...
New NLP benchmarks are urgently needed to align with the rapid developme...
The Schrödinger bridge problem (SBP) is gaining increasing attention in
...
Topological loss based on persistent homology has shown promise in vario...
The adversarial risk of a machine learning model has been widely studied...
Deep neural networks are known to have security issues. One particular t...
Label noise is frequently observed in real-world large-scale datasets. T...
Stochastic Gradient Descent (SGD) based methods have been widely used fo...
Recently, Generative Adversarial Networks (GANs) have demonstrated their...
In this work, we propose a method for training distributed GAN with
sequ...
Based on the geometric Triangle Algorithm for testing membership of a
p...
The it Convex Hull Membership(CHM) problem is: Given a point p and a sub...
Computation of the vertices of the convex hull of a set S of n points in...