Marek Wydmuch
Titolo
Citata da
Citata da
Anno
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
4382016
ViZDoom Competitions: Playing Doom From Pixels
M Wydmuch, M Kempka, W Jaśkowski
IEEE Transactions on Games 11 (3), 248-259, 2018
402018
A no-regret generalization of hierarchical softmax to extreme multi-label classification
M Wydmuch, K Jasinska, M Kuznetsov, R Busa-Fekete, K Dembczynski
Advances in Neural Information Processing Systems, 6355-6366, 2018
202018
Online probabilistic label trees
K Jasinska-Kobus, M Wydmuch, D Thiruvenkatachari, K Dembczyński
arXiv preprint arXiv:2007.04451, 2020
12020
Efficient Set-Valued Prediction in Multi-Class Classification
T Mortier, M Wydmuch, K Dembczyński, E Hüllermeier, W Waegeman
arXiv e-prints, arXiv: 1906.08129, 2019
12019
Probabilistic Label Trees for Extreme Multi-label Classification
K Jasinska-Kobus, M Wydmuch, K Dembczynski, M Kuznetsov, ...
arXiv preprint arXiv:2009.11218, 2020
2020
Efficient Set-Valued Prediction in Multi-Class Classification
T Mortier, M Wydmuch, K Dembczyński, E Hüllermeier, W Waegeman
arXiv preprint arXiv:1906.08129, 2019
2019
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) and the 28th …, 2019
2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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