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Found 4 papers, 2 papers with code
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation
We use contrastive learning to train our feature extractor on unapproved (unlabeled) loan applications and use domain adaptation to generalize the performance of our label predictor.
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
We propose a two-stage method, RuDi, that distills the knowledge of black-box teacher models into rule-based student models.
Uncovering the Source of Machine Bias
We find two types of biases in gender, preference-based bias and belief-based bias, are present in human evaluators' decisions.
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion
The prosperity of mobile and financial technologies has bred and expanded various kinds of financial products to a broader scope of people, which contributes to advocating financial inclusion.
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