Marek Wydmuch
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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
5592016
ViZDoom Competitions: Playing Doom From Pixels
M Wydmuch, M Kempka, W Jaśkowski
IEEE Transactions on Games 11 (3), 248-259, 2018
662018
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
522018
Probabilistic label trees for extreme multi-label classification
K Jasinska-Kobus, M Wydmuch, K Dembczynski, M Kuznetsov, ...
arXiv preprint arXiv:2009.11218, 2020
102020
Efficient set-valued prediction in multi-class classification
T Mortier, M Wydmuch, K Dembczyński, E Hüllermeier, W Waegeman
Data Mining and Knowledge Discovery, 1-35, 2021
62021
Online probabilistic label trees
K Jasinska-Kobus, M Wydmuch, D Thiruvenkatachari, K Dembczynski
International Conference on Artificial Intelligence and Statistics, 1801-1809, 2021
42021
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification
T Mortier, M Wydmuch, E Hüllermeier, K Dembczynski, W Waegeman
arXiv preprint arXiv:1906.08129, 2019
12019
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
2021
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
Online probabilistic label trees (OPLTs)
K Jasinska-Kobus, M Wydmuch, D Thiruvenkatachari, K Dembczyński
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Artiklar 1–10