Abstract: We introduce Memory Selection with Contrastive Learning (MSCL), an advanced Continual Learning (CL) approach, addressing challenges in dynamic and imbalanced environments. MSCL combines ...
It's not just students, more professors are using AI in the classroom. But they say more guidance is needed on how to use the ...
Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...
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