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Found 2 papers, 1 papers with code
Low-Shot Learning for Fictional Claim Verification
In this paper, we study the problem of claim verification in the context of claims about fictional stories in a low-shot learning setting.
State Prediction of Human-in-the-Loop Multi-rotor System with Stochastic Human Behavior Model
To reduce the conservativeness of the reachability analysis, we present a state prediction method which takes into account a stochastic human behavior model represented as a Gaussian Mixture Model (GMM).
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