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Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.

C. Eichenberger, M. Neun, H. Martin, P. Herruzo, M. Spanring, Y. Lu, S. Choi, V. Konyakhin, N. Lukashina, A. Shpilman, N. Wiedemann, M. Raubal, B. Wang, H. Vu, R. Mohajerpoor, C. Cai, I. Kim, L. Hermes, A. Melnik, R. Velioglu, M. Vieth, M. Schilling, A. Bojesomo, H. Al-Marzouqi, P. Liatsis, J. Santokhi, D. Hillier, Y. Yang, J. Sarwar, A. Jordan, E. Hewage, D. Jonietz, F. Tang, A. Gruca, M. Kopp, D. Kreil, and S. Hochreiter. NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 97-112. PMLR, (2021)

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Aleksei Babich

Aleksei Fishkin

Aleksei Viktorovich Volkov

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Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation.N. Lukashina, A. Alenicheva, E. Vlasova, A. Kondiukov, A. Khakimova, E. Magerramov, N. Churikov, and A. Shpilman. CoRR, (2020)A Comparative Evaluation of Machine Learning Methods for Robot Navigation Through Human Crowds.A. Gaydashenko, D. Kudenko, and A. Shpilman. ICMLA, page 553-557. IEEE, (2018)MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned.A. Kanervisto, S. Milani, K. Ramanauskas, N. Topin, Z. Lin, J. Li, J. Shi, D. Ye, Q. Fu, W. Yang and 12 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 13-28. PMLR, (2021)End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box.V. Belyaev, A. Malysheva, and A. Shpilman. REDUNDANCY, page 165-170. IEEE, (2019)Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World.F. Laurent, M. Schneider, C. Scheller, J. Watson, J. Li, Z. Chen, Y. Zheng, S. Chan, K. Makhnev, O. Svidchenko and 17 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 275-301. PMLR, (2020)Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments.D. Ivanov, V. Egorov, and A. Shpilman. AAMAS, page 1536-1538. ACM, (2021)Deep Multi-Agent Reinforcement Learning with Relevance Graphs.A. Malysheva, T. Sung, C. Sohn, D. Kudenko, and A. Shpilman. CoRR, (2018)Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation.I. Sosin, D. Kudenko, and A. Shpilman. CoRR, (2020)MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning.A. Malysheva, D. Kudenko, and A. Shpilman. CoRR, (2020)A comparative evaluation of machine learning methods for robot navigation through human crowds.A. Gaydashenko, D. Kudenko, and A. Shpilman. CoRR, (2020)

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Disambiguation of "Shpilman, Aleksei"

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Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.

Please choose a person to relate this publication to

Aleksei Babich

Aleksei Fishkin

Aleksei Viktorovich Volkov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shpilman, Aleksei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.

Please choose a person to relate this publication to

Aleksei Babich

Aleksei Fishkin

Aleksei Viktorovich Volkov

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.