1.

A General Online Algorithm for Optimizing Complex Performance Metrics / Wojciech Kotłowski (WIiT), Marek Wydmuch (WIiT), Erik Schultheis, Rohit Babbar, Krzysztof Dembczyński (WIiT) // W: Proceedings of the 41st International Conference on Machine Learning, 2024 - p. 25396-25425

Chapter in monograph / paper 200

2.

Consistent algorithms for multi-label classification with macro-at-k metrics / Erik Schultheis, Wojciech Kotłowski (WIiT), Marek Wydmuch (WIiT), Rohit Babbar, Krzysztof Dembczyński (WIiT), Strom Borman // W: The Twelfth International Conference on Learning Representations ICLR 2024, 2024

Chapter in monograph / paper 200

3.

Generalized test utilities for long-tail performance in extreme multi-label classification / Erik Schultheis, Marek Wydmuch (WIiT), Wojciech Kotłowski (WIiT), Rohit Babbar, Krzysztof Dembczyński (WIiT) // W: Advances in Neural Information Processing Systems 36 : Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10-16, 2023 / red. A. Oh: Curran Associates, Inc., 2023

Chapter in monograph / paper 5 200

4.

On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification / Erik Schultheis, Marek Wydmuch (WIiT), Rohit Babbar, Krzysztof Dembczyński (WIiT) // W: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD '22 / red. Aidong Zhang, Huzefa Rangwala - New York, NY, USA : Association for Computing Machinery (ACM), 2022 - p. 1547-1557

Chapter in monograph / paper 20 200

5.

Efficient set-valued prediction in multi-class classification / T. Mortier, Marek Wydmuch (WI), Krzysztof Dembczyński (WIiT) // Data Mining and Knowledge Discovery - 2021, vol. 35, iss. 4, p. 1435-1469

Scientific article 140 5,406

6.

Online probabilistic label trees / Kalina Jasinska-Kobus (WIiT), Marek Wydmuch (WIiT), Devanathan Thiruvenkatachari, Krzysztof Dembczyński (WIiT) // W: Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 13-15 April 2021 / red. Arindam Banerjee, Kenji Fukumizu: PMLR, 2021 - p. 1801-1809

Chapter in monograph / paper 5 140

7.

Propensity-scored Probabilistic Label Trees / Marek Wydmuch (WIiT), Kalina Jasinska-Kobus (WIiT), Rohit Babbar, Krzysztof Dembczyński (WIiT) // W: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR '21 / red. Fernando Diaz, Chirag Shah, Torsten Suel - New York, NY, USA : Association for Computing Machinery (ACM), 2021 - p. 2252-2256

Chapter in monograph / paper 20 200

8.

ViZDoom Competitions: Playing Doom From Pixels / Marek Wydmuch (WI), Michał Kempka (WI), Wojciech Jaśkowski // IEEE Transactions on Games - 2019, vol. 11, no. 3, p. 248-259

Scientific article 70 1,886

9.

A no-regret generalization of hierarchical softmax to extreme multi-label classification / Marek Wydmuch (WI), Kalina Jasinska (WI), Róbert Busa-Fekete, Mikhail Kuznetsov, Krzysztof Dembczyński (WI) // W: Advances in Neural Information Processing Systems 31 (NIPS 2018): Curran Associates, Inc., 2018 - p. 6358-6368

Poster

10.

ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning / Michał Kempka (WI), Marek Wydmuch (WI), Grzegorz Runc (WI), Jakub Toczek (WI), Wojciech Jaśkowski (WI) // W: Proceedings of IEEE Conference on Computational Intelligence and Games (CIG 2016): IEEE, 2016

Paper