ORIS uses a Deep Q-Network with an inclusivity reward to select diverse documents for labeling, reducing simulated annotator memory-decay errors and improving machine model performance.
Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning,
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ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System
ORIS uses a Deep Q-Network with an inclusivity reward to select diverse documents for labeling, reducing simulated annotator memory-decay errors and improving machine model performance.