Search Results for author: Igor Markov

Found 6 papers, 1 papers with code

RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition

1 code implementation29 Mar 2023 Igor Markov, Sergey Nesteruk, Andrey Kuznetsov, Denis Dimitrov

In this paper, we present a large-scale human-labeled dataset for Russian text recognition in-the-wild.

Federated Calibration and Evaluation of Binary Classifiers

no code implementations22 Oct 2022 Graham Cormode, Igor Markov

We address two major obstacles to practical use of supervised classifiers on distributed private data.

Data-Driven Mitigation of Adversarial Text Perturbation

no code implementations19 Feb 2022 Rasika Bhalerao, Mohammad Al-Rubaie, Anand Bhaskar, Igor Markov

We propose Continuous Word2Vec (CW2V), our data-driven method to learn word embeddings that ensures that perturbations of words have embeddings similar to those of the original words.

Adversarial Text Classification +2

Picasso: Model-free Feature Visualization

no code implementations24 Nov 2021 Binh Vu, Igor Markov

Today, Machine Learning (ML) applications can have access to tens of thousands of features.

SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection

no code implementations SEMEVAL 2020 Daryna Dementieva, Igor Markov, Alexander Panchenko

This paper presents a solution for the Span Identification (SI) task in the {``}Detection of Propaganda Techniques in News Articles{''} competition at SemEval-2020.

Propaganda detection Text Augmentation

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