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Found 3 papers, 2 papers with code
NeuralNDCG: Direct Optimisation of a Ranking Metric via Differentiable Relaxation of Sorting
As a result, we obtain a new ranking loss function which is an arbitrarily accurate approximation to the evaluation metric, thus closing the gap between the training and the evaluation of LTR models.
Context-Aware Learning to Rank with Self-Attention
In learning to rank, one is interested in optimising the global ordering of a list of items according to their utility for users. Popular approaches learn a scoring function that scores items individually (i. e. without the context of other items in the list) by optimising a pointwise, pairwise or listwise loss.
MobiBits: Multimodal Mobile Biometric Database
This paper presents a novel database comprising representations of five different biometric characteristics, collected in a mobile, unconstrained or semi-constrained setting with three different mobile devices, including characteristics previously unavailable in existing datasets, namely hand images, thermal hand images, and thermal face images, all acquired with a mobile, off-the-shelf device.
