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Found 6 papers, 2 papers with code
Enemy Spotted: in-game gun sound dataset for gunshot classification and localization
By exploiting the advantage of the game environment, we construct a gunshot dataset, namely BGG, for the firearm classification and gunshot localization tasks.
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
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.
JORLDY: a fully customizable open source framework for reinforcement learning
Recently, Reinforcement Learning (RL) has been actively researched in both academic and industrial fields.
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
Hence, researchers have leveraged the Trusted Execution Environments (TEEs) to build confidential ML computation systems.
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation
Successful sequential recommendation systems rely on accurately capturing the user's short-term and long-term interest.
Learning Representations by Contrasting Clusters While Bootstrapping Instances
Learning visual representations using large-scale unlabelled images is a holy grail for most of computer vision tasks.
