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Kalina Jasinska-Kobus

2 accepted papers

2025

AlleNoise - large-scale text classification benchmark dataset with real-world label noise

AISTATS 2025poster

Label noise remains a challenge for training robust classification models. Most methods for mitigating label noise have been benchmarked using primarily datasets with synthetic noise. While the need for datasets with realistic noise distribution has partially been addressed by web-scraped benchmarks…

Cited by 0SourcecodeScholar
2021

Online probabilistic label trees

AISTATS 2021poster

We introduce online probabilistic label trees (OPLTs), an algorithm that trains a label tree classifier in a fully online manner without any prior knowledge about the number of training instances, their features and labels. OPLTs are characterized by low time and space complexity as well as strong t…