| Vizdoom: A Doom-based AI research platform for visual reinforcement learning M Kempka, M Wydmuch, G Runc, J Toczek, W Ja¶kowski 2016 IEEE conference on computational intelligence and games (CIG), 1-8, 2016 | 876 | 2016 |
| ViZDoom Competitions: Playing Doom From Pixels M Wydmuch, M Kempka, W Ja¶kowski IEEE Transactions on Games 11 (3), 248-259, 2018 | 157 | 2018 |
| A no-regret generalization of hierarchical softmax to extreme multi-label classification M Wydmuch, K Jasinska, M Kuznetsov, R Busa-Fekete, K Dembczyński NeurIPS'18: Proceedings of the 32nd International Conference on Neural …, 2018 | 109 | 2018 |
| Efficient set-valued prediction in multi-class classification T Mortier, M Wydmuch, K Dembczyński, E Hüllermeier, W Waegeman Data Mining and Knowledge Discovery 35 (4), 1435-1469, 2021 | 41 | 2021 |
| On missing labels, long-tails and propensities in extreme multi-label classification E Schultheis, M Wydmuch, R Babbar, K Dembczynski Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 34 | 2022 |
| Probabilistic label trees for extreme multi-label classification K Jasinska-Kobus, M Wydmuch, K Dembczynski, M Kuznetsov, ... arXiv preprint arXiv:2009.11218, 2020 | 25 | 2020 |
| Online probabilistic label trees K Jasinska-Kobus, M Wydmuch, D Thiruvenkatachari, K Dembczynski International Conference on Artificial Intelligence and Statistics, 1801-1809, 2021 | 10 | 2021 |
| Propensity-scored Probabilistic Label Trees M Wydmuch, K Jasinska-Kobus, R Babbar, K Dembczynski Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 9 | 2021 |
| Generalized test utilities for long-tail performance in extreme multi-label classification E Schultheis, M Wydmuch, W Kotłowski, R Babbar, K Dembczyński Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 5 | 2023 |
| Efficient algorithms for set-valued prediction in multi-class classification T Mortier, M Wydmuch, E Hüllermeier, K Dembczynski, W Waegeman CoRR, abs, 2019 | 4* | 2019 |
| Consistent algorithms for multi-label classification with macro-at- metrics E Schultheis, W Kotłowski, M Wydmuch, R Babbar, S Borman, ... The Twelfth International Conference on Learning Representations, 2024 | 1 | 2024 |
| Tackling prediction tasks in relational databases with LLMs M Wydmuch, Ł Borchmann, F Graliński arXiv preprint arXiv:2411.11829, 2024 | | 2024 |
| Multilingual hierarchical classification of job advertisements for job vacancy statistics M Beręsewicz, M Wydmuch, H Cherniaiev, R Pater arXiv preprint arXiv:2411.03779, 2024 | | 2024 |
| A General Online Algorithm for Optimizing Complex Performance Metrics W Kotłowski, M Wydmuch, E Schultheis, R Babbar, K Dembczyński arXiv preprint arXiv:2406.14743, 2024 | | 2024 |
| Beyond Standard Performance Measures in Extreme Multi-label Classification E Schultheis, M Wydmuch, R Babbar, K Dembczyński Workshop on Online and Adaptive Recommender Systems, 2022 | | 2022 |
| Online probabilistic label trees (OPLTs) K Jasinska-Kobus, M Wydmuch, D Thiruvenkatachari, K Dembczynski | | 2021 |
| napkinXC: Probabilistic Label Trees For Extreme Multi-label Classification K Jasinska-Kobus, M Wydmuch, M Kuznetsov, R Busa-Fekete, ... | | 2020 |
| Set-Valued Prediction in Multi-Class Classification T Mortier, M Wydmuch, K Dembczyński, E Hüllermeier, W Waegeman 31st Benelux conference on Artificial Intelligence (BNAIC 2019); 28th …, 2019 | | 2019 |
Krzysztof DembczyńskiPoznan University of TechnologyVerified email at cs.put.poznan.pl
