By exploiting the advantage of the game environment, we construct a gunshot dataset, namely BGG, for the firearm classification and gunshot localization tasks.
To alleviate this problem, we propose DraftRec, a novel hierarchical model which recommends characters by considering each player's champion preferences and the interaction between the players.
Recently, Reinforcement Learning (RL) has been actively researched in both academic and industrial fields.
Hence, researchers have leveraged the Trusted Execution Environments (TEEs) to build confidential ML computation systems.
Successful sequential recommendation systems rely on accurately capturing the user's short-term and long-term interest.
Learning visual representations using large-scale unlabelled images is a holy grail for most of computer vision tasks.