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InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
Unlike InPars, InPars-light uses 7x-100x smaller ranking models and only a freely available language model BLOOM, which -- as we found out -- produced more accurate rankers compared to a proprietary GPT-3 model.
EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection
EaZy learning is similar to ensemble learning as it generates an ensemble of base classifiers and integrates them to make a prediction.
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