NeurIPS 2019 Competition and Demonstration Track: Revised selected papers

Hugo Jair Escalante, Raia Hadsell; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:1-12

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Efficient Model for Image Classification With Regularization Tricks

Taehyeon Kim, Jonghyup Kim, Seyoung Yun; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:13-26

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Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

Sebastian Weichwald, Martin E. Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:27-36

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A Deep-learning-aided Automatic Vision-based Control Approach for Autonomous Drone Racing in Game of Drones Competition

Donghwi Kim, Hyunjee Ryu, Jedsadakorn Yonchorhor, David Hyunchul Shim; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:37-46

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Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting

Pedro Herruzo, Josep L. Larriba-Pey; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:47-55

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Playing Minecraft with Behavioural Cloning

Anssi Kanervisto, Janne Karttunen, Ville Hautamäki; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:56-66

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Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft

Christian Scheller, Yanick Schraner, Manfred Vogel; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:67-76

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F1TENTH: An Open-source Evaluation Environment for Continuous Control and Reinforcement Learning

Matthew O’Kelly, Hongrui Zheng, Dhruv Karthik, Rahul Mangharam; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:77-89

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Catch Me, If You Can! A Mediated Perception Approach Towards Fully Autonomous Drone Racing

Florian Ölsner, Stefan Milz; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:90-99

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Evolution Algorithm and Online Learning for Racing Drone

Sangyun Shin, Yongwon Kang, Yong-Guk Kim; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:100-109

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The Causality for Climate Competition

Jakob Runge, Xavier-Andoni Tibau, Matthias Bruhns, Jordi Muñoz-Marí, Gustau Camps-Valls; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:110-120

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The First International Competition in Machine Reconnaissance Blind Chess

Ryan W. Gardner, Corey Lowman, Casey Richardson, Ashley J. Llorens, Jared Markowitz, Nathan Drenkow, Andrew Newman, Gregory Clark, Gino Perrotta, Robert Perrotta, Timothy Highley, Vlad Shcherbina, William Bernadoni, Mark Jordan, Asen Asenov; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:121-130

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Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction

Özge Nilay Yalçın, Nouf Abukhodair, Steve DiPaola; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:131-141

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REAL-2019: Robot open-Ended Autonomous Learning competition

Emilio Cartoni, Francesco Mannella, Vieri Giuliano Santucci, Jochen Triesch, Elmar Rueckert, Gianluca Baldassarre; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:142-152

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Graph-ResNets for short-term traffic forecasts in almost unknown cities

Henry Martin, Dominik Bucher, Ye Hong, René Buffat, Christian Rupprecht, Martin Raubal; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:153-163

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The Animal-AI Testbed and Competition

Matthew Crosby, Benjamin Beyret, Murray Shanahan, José Hernández-Orallo, Lucy Cheke, Marta Halina; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:164-176

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AirSim Drone Racing Lab

Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:177-191

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Visualizing and sonifying how an artificial ear hears music

Vincent Herrmann; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:192-202

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Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning

Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Keisuke Nakata, Oriol Vinyals, Noboru Sean Kuno; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:203-214

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MicroNet for Efficient Language Modeling

Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:215-231

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The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task – Insights from the IARAI Traffic4cast Competition at NeurIPS 2019

David P Kreil, Michael K Kopp, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:232-241

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Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019

Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Julio C. S. Jacques Junior, Sergio Escalera, Adrien Pavao, Sebastien Treguer, Wei-Wei Tu, Isabelle Guyon; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:242-252

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A Global Health Gym Environment for RL Applications

Sekou L. Remy, Oliver Bent; Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:253-261

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