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RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback


Dec 24, 2019
Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko

* In The Thirteenth ACM International Conference on Web Search and Data Mining (WSDM '20), February 3-7, 2020, Houston, TX, USA. ACM, New York, NY, USA, 9 pages 

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Synthetic Data for Deep Learning


Sep 25, 2019
Sergey I. Nikolenko

* 156 pages, 24 figures, 719 references 

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AspeRa: Aspect-based Rating Prediction Model


Jan 23, 2019
Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev

* accepted to ECIR 2019 

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Adapting Convolutional Neural Networks for Geographical Domain Shift


Jan 18, 2019
Pavel Ostyakov, Sergey I. Nikolenko


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Learning State Representations in Complex Systems with Multimodal Data


Nov 30, 2018
Pavel Solovev, Vladimir Aliev, Pavel Ostyakov, Gleb Sterkin, Elizaveta Logacheva, Stepan Troeshestov, Roman Suvorov, Anton Mashikhin, Oleg Khomenko, Sergey I. Nikolenko

* Fixed references 

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SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint


Nov 19, 2018
Pavel Ostyakov, Roman Suvorov, Elizaveta Logacheva, Oleg Khomenko, Sergey I. Nikolenko


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Label Denoising with Large Ensembles of Heterogeneous Neural Networks


Sep 12, 2018
Pavel Ostyakov, Elizaveta Logacheva, Roman Suvorov, Vladimir Aliev, Gleb Sterkin, Oleg Khomenko, Sergey I. Nikolenko


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