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Found 2 papers, 1 papers with code
LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection
In this paper, we enhance ML-based solutions with linguistics input and we propose LingML, linguistic-informed ML, for fake news detection.
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
To this end, we introduce our expected variance with Gaussian processes (EV-GP) criterion for neural active learning, which is theoretically guaranteed to select data points which lead to trained NNs with both (a) good predictive performances and (b) initialization robustness.
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