12 citations · 13 across the 3 of their papers we have counts for
6 papers
Sequence Modeling with Unconstrained Generation Order
Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov
The dominant approach to sequence generation is to produce a sequence in some predefined order, e.g. left to right. In contrast, we propose a more general model that can generate t…
Latent Distribution Assumption for Unbiased and Consistent Consensus Modelling
Valentina Fedorova, Gleb Gusev, Pavel Serdyukov
We study the problem of aggregation noisy labels. Usually, it is solved by proposing a stochastic model for the process of generating noisy labels and then estimating the model par…
Online Evaluation for Effective Web Service Development
Roman Budylin, Alexey Drutsa, Gleb Gusev +2
Development of the majority of the leading web services and software products today is generally guided by data-driven decisions based on evaluation that ensures a steady stream of…
Context-Aware Neural Machine Translation Learns Anaphora Resolution
Elena Voita, Pavel Serdyukov, Rico Sennrich +1
Standard machine translation systems process sentences in isolation and hence ignore extra-sentential information, even though extended context can both prevent mistakes in ambiguo…
Finding Influential Training Samples for Gradient Boosted Decision Trees
Boris Sharchilev, Yury Ustinovsky, Pavel Serdyukov +1
We address the problem of finding influential training samples for a particular case of tree ensemble-based models, e.g., Random Forest (RF) or Gradient Boosted Decision Trees (GBD…
Empirical Validation of the Buckley--Osthus Model for the Web Host Graph: Degree and Edge Distributions
Maxim Zhukovskiy, Dmitry Vinogradov, Yuri Pritykin +5
There has been a lot of research on random graph models for large real-world networks such as those formed by hyperlinks between web pages in the world wide web. Though largely suc…