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Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods
Classification of datasets into two or more distinct classes is an important machine learning task.
On Committee Representations of Adversarial Learning Models for Question-Answer Ranking
Adversarial training is a process in Machine Learning that explicitly trains models on adversarial inputs (inputs designed to deceive or trick the learning process) in order to make it more robust or accurate.
Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks
Adversarial domain adaptation has been recently proposed as an effective technique for textual matching tasks, such as question deduplication.
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