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Automating Control of Overestimation Bias for Continuous Reinforcement Learning


Oct 26, 2021
Arsenii Kuznetsov, Alexander Grishin, Artem Tsypin, Arsenii Ashukha, Dmitry Vetrov


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Resolution-robust Large Mask Inpainting with Fourier Convolutions


Sep 15, 2021
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky


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Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations


Jul 14, 2021
Arsenii Ashukha, Andrei Atanov, Dmitry Vetrov


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Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation


Feb 21, 2020
Dmitry Molchanov, Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha, Dmitry Vetrov


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Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning


Feb 15, 2020
Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry Vetrov

* Eighth International Conference on Learning Representations (ICLR 2020) 

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Semi-Conditional Normalizing Flows for Semi-Supervised Learning


May 01, 2019
Andrei Atanov, Alexandra Volokhova, Arsenii Ashukha, Ivan Sosnovik, Dmitry Vetrov


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The Deep Weight Prior. Modeling a prior distribution for CNNs using generative models


Oct 16, 2018
Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry Vetrov, Max Welling


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Variance Networks: When Expectation Does Not Meet Your Expectations


Jul 04, 2018
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov


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Bayesian Incremental Learning for Deep Neural Networks


Mar 27, 2018
Max Kochurov, Timur Garipov, Dmitry Podoprikhin, Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov


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Uncertainty Estimation via Stochastic Batch Normalization


Mar 20, 2018
Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry Vetrov

* Workshop track - ICLR 2018 
* Under review as a workshop paper at ICLR 2018 

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Structured Bayesian Pruning via Log-Normal Multiplicative Noise


Nov 04, 2017
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov


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Variational Dropout Sparsifies Deep Neural Networks


Jun 13, 2017
Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov

* Published in ICML 2017 

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