3k citations
- Eötvös Loránd UniversityHU42 papers
- Hungarian Academy of SciencesHU19 papers
- Budapest University of Technology and EconomicsHU16 papers
- HUN-REN Wigner Research Centre for PhysicsHU15 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ13 papers
- Centre National de la Recherche ScientifiqueFR12 papers
- Institute for Particle and Nuclear PhysicsHU11 papers
- Iowa State UniversityUS11 papers
- Konkoly ObservatoryHU11 papers
- Los Alamos National LaboratoryUS11 papers
- Institute for High Energy PhysicsES10 papers
- Lund UniversitySE10 papers
Showing 2019 · cs.LGShow all
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cs.LG2019★ 2.7k cited
A Comparative Analysis of XGBoost
Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz
XGBoost is a scalable ensemble technique based on gradient boosting that has demonstrated to be a reliable and efficient machine learning challenge solver. This work proposes a pra…
cs.LG2019★ 5 cited
MimosaNet: An Unrobust Neural Network Preventing Model Stealing
Kálmán Szentannai, Jalal Al-Afandi, András Horváth
Deep Neural Networks are robust to minor perturbations of the learned network parameters and their minor modifications do not change the overall network response significantly. Thi…
cs.LG2019★ 1 cited
Domain Partitioning Network
Botos Csaba, Adnane Boukhayma, Viveka Kulharia +2
Standard adversarial training involves two agents, namely a generator and a discriminator, playing a mini-max game. However, even if the players converge to an equilibrium, the gen…