Extreme f-measure maximization using sparse probability estimates K Jasinska, K Dembczynski, R Busa-Fekete, K Pfannschmidt, T Klerx, ... International conference on machine learning, 1435-1444, 2016 | 66 | 2016 |
A no-regret generalization of hierarchical softmax to extreme multi-label classification M Wydmuch, K Jasinska, M Kuznetsov, R Busa-Fekete, K Dembczyński arXiv preprint arXiv:1810.11671, 2018 | 25 | 2018 |
Log-time and log-space extreme classification K Jasinska, N Karampatziakis arXiv preprint arXiv:1611.01964, 2016 | 11 | 2016 |
Consistent label tree classifiers for extreme multi-label classification K Jasinska, K Dembczynski Workshop on Extreme Classification at the International Confernece on …, 2015 | 5 | 2015 |
Online probabilistic label trees K Jasinska-Kobus, M Wydmuch, D Thiruvenkatachari, K Dembczyński arXiv preprint arXiv:2007.04451, 2020 | 1 | 2020 |
On the computational complexity of the probabilistic label tree algorithms R Busa-Fekete, K Dembczynski, A Golovnev, K Jasinska, M Kuznetsov, ... arXiv preprint arXiv:1906.00294, 2019 | 1 | 2019 |
Efficient exact batch prediction for label trees K Jasinska Extreme Multilabel Classification for Social Media at The Web Conference, 2018 | 1 | 2018 |
Extreme classification under limited space and time budget K Jasińska, K Dembczyński, N Karampatziakis Schedae Informaticae 25, 9–23-9–23, 2016 | 1 | 2016 |
Probabilistic Label Trees for Extreme Multi-label Classification K Jasinska-Kobus, M Wydmuch, K Dembczynski, M Kuznetsov, ... arXiv preprint arXiv:2009.11218, 2020 | | 2020 |
BERT-based similarity learning for product matching J Tracz, PI Wójcik, K Jasinska-Kobus, R Belluzzo, R Mroczkowski, ... Proceedings of Workshop on Natural Language Processing in E-Commerce, 66-75, 2020 | | 2020 |
Bayes optimal prediction for NDCG@k in extreme multi-label classification K Jasinska, K Dembczyński http://da2pl.cs.put.poznan.pl/programme/detailed-programme/da2pl2018 …, 2018 | | 2018 |
Efficient extreme multi-label classification with guarantees K Jasinska, PUT POZNAN | | |