HIGHLIGHTS
SUMMARY
It has been shown that deep learning architectures such as multilayer perceptrons (MLP), convolutional neural_networks (CNN), and gated recurrent units (GRU) often improve in their robustness when enhanced by a conformal prediction algorithm. Similar results are demonstrated and_[31] for conformal prediction-enhanced BERT and artificial neural_network (ANN)-based sentiment classification and multi-label text classification, respectively. Other experiments in the literature, such as with deep neural_network (DNN)-based multi-label text classifiers and_[4] with tree-based classifiers, replicate these The story cloze test has been further explored in the form of neural_network . . .
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