no code implementations • 22 Mar 2024 • Gaurav Tarlok Kakkar, Jiashen Cao, Aubhro Sengupta, Joy Arulraj, Hyesoon Kim
Second, the optimal query plan for ML queries is data-dependent, necessitating DBMSs to adapt the query plan on the fly during execution.
no code implementations • 6 Apr 2021 • Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj
ZEUS trains a reinforcement learning agent that learns to adaptively modify the input video segments that are subsequently sent to an action classification network.
no code implementations • 9 Sep 2020 • Abhijit Suprem, Joy Arulraj, Calton Pu, Joao Ferreira
In this paper, we present a visual data analytics system, called ODIN, that automatically detects and recovers from drift.