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Found 2 papers, 1 papers with code
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
In the literature of mitigating unfairness in machine learning, many fairness measures are designed to evaluate predictions of learning models and also utilised to guide the training of fair models.
Universal Learned Image Compression With Low Computational Cost
Recently, learned image compression methods have developed rapidly and exhibited excellent rate-distortion performance when compared to traditional standards, such as JPEG, JPEG2000 and BPG.
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