Artem Sokolov | DeepAI

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Featured Co-authors

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Shahin Amiriparian
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∙ 07/17/2023

Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts

End-to-end automatic speech translation (AST) relies on data that combin...

0 Rebekka Hubert, et al. ∙

∙ 02/27/2023

Make Every Example Count: On Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets

Increasingly larger datasets have become a standard ingredient to advanc...

0 Irina Bejan, et al. ∙

∙ 12/06/2021

Scaling Up Influence Functions

We address efficient calculation of influence functions for tracking pre...

0 Andrea Schioppa, et al. ∙

∙ 10/13/2021

Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits

Training data for machine translation (MT) is often sourced from a multi...

8 Julia Kreutzer, et al. ∙

∙ 09/16/2021

Don't Search for a Search Method – Simple Heuristics Suffice for Adversarial Text Attacks

Recently more attention has been given to adversarial attacks on neural ...

0 Nathaniel Berger, et al. ∙

∙ 09/09/2021

Fixing exposure bias with imitation learning needs powerful oracles

We apply imitation learning (IL) to tackle the NMT exposure bias problem...

0 Luca Hormann, et al. ∙

∙ 04/20/2021

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

Text encodings from automatic speech recognition (ASR) transcripts and a...

0 Shahin Amiriparian, et al. ∙

∙ 04/05/2021

Real-time Streaming Wave-U-Net with Temporal Convolutions for Multichannel Speech Enhancement

In this paper, we describe the work that we have done to participate in ...

0 Vasiliy Kuzmin, et al. ∙

∙ 03/22/2021

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

With the success of large-scale pre-training and multilingual modeling i...

33 Isaac Caswell, et al. ∙

∙ 06/02/2020

Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization

Interest in stochastic zeroth-order (SZO) methods has recently been revi...

0 Mayumi Ohta, et al. ∙

∙ 10/02/2018

Learning to Segment Inputs for NMT Favors Character-Level Processing

Most modern neural machine translation (NMT) systems rely on presegmente...

0 Julia Kreutzer, et al. ∙

∙ 10/02/2018

Optimally Segmenting Inputs for NMT Shows Preference for Character-Level Processing

Most modern neural machine translation (NMT) systems rely on presegmente...

0 Julia Kreutzer, et al. ∙

∙ 06/12/2018

Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction

Stochastic zeroth-order (SZO), or gradient-free, optimization allows to ...

0 Artem Sokolov, et al. ∙

∙ 12/15/2017

Sockeye: A Toolkit for Neural Machine Translation

We describe Sockeye (version 1.12), an open-source sequence-to-sequence ...

0 Felix Hieber, et al. ∙

∙ 07/28/2017

Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation

The goal of counterfactual learning for statistical machine translation ...

0 Carolin Lawrence, et al. ∙

∙ 07/27/2017

A Shared Task on Bandit Learning for Machine Translation

We introduce and describe the results of a novel shared task on bandit l...

0 Artem Sokolov, et al. ∙

∙ 04/21/2017

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning

Bandit structured prediction describes a stochastic optimization framewo...

0 Julia Kreutzer, et al. ∙

∙ 06/02/2016

Stochastic Structured Prediction under Bandit Feedback

Stochastic structured prediction under bandit feedback follows a learnin...

0 Artem Sokolov, et al. ∙

∙ 01/18/2016

Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation

We present an approach to structured prediction from bandit feedback, ca...

0 Artem Sokolov, et al. ∙

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