WebBDANN comprises three main modules: a multi-modal feature extractor, a domain classifier and a fake news detector. Specifically, the multi-modal feature extractor employs the … WebMay 28, 2024 · In the above line, you use the validation directory to form the test_data. When I changed it to the test directory, I got a very poor conformance, like 50% accuracy.
xiaolan98/BDANN-IJCNN2024 - Github
WebJul 1, 2024 · BDANN comprises three main modules: a multi-modal feature extractor, a domain classifier and a fake news detector. Specifically, the multi-modal feature extractor … WebJun 22, 2024 · In order to address those challenges, we propose an end-to-end fake news detection framework named MetaFEND, which is able to learn quickly to detect fake news on emergent events with a few verified posts. Specifically, the proposed model integrates meta-learning and neural process methods together to enjoy the benefits of these … timothee chalamet sims 4
g2tmn at Constraint@AAAI2024: Exploiting CT-BERT and
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