Szarvas, György

6 publications

AAAI 2022 Transformer Uncertainty Estimation with Hierarchical Stochastic Attention Jiahuan Pei, Cheng Wang, György Szarvas

MLJ 2013 Tune and Mix: Learning to Rank Using Ensembles of Calibrated Multi-Class Classifiers Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas

ECML-PKDD 2011 A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas

ECCV 2010 Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele

ECCVW 2010 Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele

CVPR 2010 What Helps Where - And Why? Semantic Relatedness for Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele