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Marek Wydmuch
Marek Wydmuch
Poznan University of Technology
Подтвержден адрес электронной почты в домене cs.put.poznan.pl - Главная страница
Название
Процитировано
Процитировано
Год
Vizdoom: A Doom-based AI research platform for visual reinforcement learning
M Kempka, M Wydmuch, G Runc, J Toczek, W Jaśkowski
2016 IEEE conference on computational intelligence and games (CIG), 1-8, 2016
8902016
ViZDoom Competitions: Playing Doom From Pixels
M Wydmuch, M Kempka, W Jaśkowski
IEEE Transactions on Games 11 (3), 248-259, 2018
1652018
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
1152018
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
442021
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
362022
Probabilistic label trees for extreme multi-label classification
K Jasinska-Kobus, M Wydmuch, K Dembczynski, M Kuznetsov, ...
arXiv preprint arXiv:2009.11218, 2020
262020
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
102021
Online probabilistic label trees
K Jasinska-Kobus, M Wydmuch, D Thiruvenkatachari, K Dembczynski
International Conference on Artificial Intelligence and Statistics, 1801-1809, 2021
102021
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
82023
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
32024
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
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