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Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
The PAC-Bayesian framework has significantly advanced our understanding of statistical learning, particularly in majority voting methods.
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention
Recent studies in fair Representation Learning have observed a strong inclination for natural language processing (NLP) models to exhibit discriminatory stereotypes across gender, religion, race and many such social constructs.
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