Abstract: In recent years, network representation learning (NRL) has attracted increasing attention due to its efficiency and effectiveness to analyze network structural data. NRL aims to learn ...

A useful name for what accumulates in the mismatch is verification debt. It is the gap between what you released and what you have demonstrated, with evidence gathered under conditions that resemble ...

This week's stories show how fast attackers change their tricks, how small mistakes turn into big risks, and how the same old ...

Abstract: Adversarial Imitation Learning (AIL) is an efficient method for autonomous decision-making in reinforcement learning, as it trains policies effectively by imitating expert demonstrations.