We study the emergence of locally suboptimal behavior in finitely repeat...
Adversarial training has been demonstrated to be the most effective appr...
The irregular nature of memory accesses of graph workloads makes their
p...
We develop a moment method based on the Hermite series of arbitrary orde...
This work concerns with boundary conditions (BCs) of the linearized mome...
We propose a necessary and sufficient condition for the well-posedness o...
We present a new class of strategic games, mixed capability games, as a
...
We study the impact of player capability on social welfare in congestion...
We propose a well-posed Maxwell-type boundary condition for the linear m...
We attribute the vulnerability of natural language processing models to ...
Adversarial training (AT) has been demonstrated as one of the most promi...
A key challenge for reinforcement learning is solving long-horizon plann...
We study the problem of inferring communication structures that can solv...
One of the major optimizations employed in deep learning frameworks is g...
Adversarial training has shown effectiveness and efficiency in improving...
We present the first verification that a neural network produces a corre...