24 citations · 41 across the 3 of their papers we have counts for
3 papers
NeuralNDCG: Direct Optimisation of a Ranking Metric via Differentiable Relaxation of Sorting
Przemysław Pobrotyn, Radosław Białobrzeski
Learning to Rank (LTR) algorithms are usually evaluated using Information Retrieval metrics like Normalised Discounted Cumulative Gain (NDCG) or Mean Average Precision. As these me…
Context-Aware Learning to Rank with Self-Attention
Przemysław Pobrotyn, Tomasz Bartczak, Mikołaj Synowiec +2
Learning to rank is a key component of many e-commerce search engines. In learning to rank, one is interested in optimising the global ordering of a list of items according to thei…
MobiBits: Multimodal Mobile Biometric Database
Ewelina Bartuzi, Katarzyna Roszczewska, Mateusz Trokielewicz +1
This paper presents a novel database comprising representations of five different biometric characteristics, collected in a mobile, unconstrained or semi-constrained setting with t…