Search Results for author: Ivan Provilkov

Found 4 papers, 4 papers with code

Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation

1 code implementation EMNLP 2021 Ivan Provilkov, Andrey Malinin

We demonstrate that MSR significantly reduces degradation with growing beam size and improves final translation quality on the IWSTL$15$ En-Vi, IWSTL$17$ En-Fr, and WMT$14$ En-De datasets.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +6

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

3 code implementations15 Jul 2021 Andrey Malinin, Neil Band, Ganshin, Alexander, German Chesnokov, Yarin Gal, Mark J. F. Gales, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Roginskiy, Denis, Mariya Shmatova, Panos Tigas, Boris Yangel

However, many tasks of practical interest have different modalities, such as tabular data, audio, text, or sensor data, which offer significant challenges involving regression and discrete or continuous structured prediction.

Image Classification Machine Translation +5

Regression Prior Networks

1 code implementation20 Jun 2020 Andrey Malinin, Sergey Chervontsev, Ivan Provilkov, Mark Gales

Prior Networks are a recently developed class of models which yield interpretable measures of uncertainty and have been shown to outperform state-of-the-art ensemble approaches on a range of tasks.

Monocular Depth Estimation regression

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