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Rudolf Kadlec

Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines


Sep 09, 2018
Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling

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A Boo(n) for Evaluating Architecture Performance


Jul 23, 2018
Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst

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* Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Volume 80 of the Proceedings of Machine Learning Research (PMLR) 
 * ICML 2018 
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Knowledge Base Completion: Baselines Strike Back


May 30, 2017
Rudolf Kadlec, Ondrej Bajgar, Jan Kleindienst

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Hybrid Dialog State Tracker with ASR Features


Feb 21, 2017
Miroslav Vodolán, Rudolf Kadlec, Jan Kleindienst

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* Accepted to EACL 2017 
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Embracing data abundance: BookTest Dataset for Reading Comprehension


Oct 04, 2016
Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst

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* The first two authors contributed equally to this work. Submitted to EACL 2017. Code and dataset are publicly available 
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Text Understanding with the Attention Sum Reader Network


Jun 24, 2016
Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, Jan Kleindienst

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* Presented at ACL 2016 
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Hybrid Dialog State Tracker


Jan 14, 2016
Miroslav Vodolán, Rudolf Kadlec, Jan Kleindienst

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* Accepted to Machine Learning for SLU & Interaction NIPS 2015 Workshop. Model description in Section 2.1 simplified compared to the previous version 
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Improved Deep Learning Baselines for Ubuntu Corpus Dialogs


Nov 03, 2015
Rudolf Kadlec, Martin Schmid, Jan Kleindienst

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* Accepted to Machine Learning for SLU & Interaction NIPS 2015 Workshop 
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