Abstract is missing.
- NeurIPS 2019 Competition and Demonstration Track Revised selected papersHugo Jair Escalante, Raia Hadsell. 1-12 [doi]
- Efficient Model for Image Classification With Regularization TricksTaehyeon Kim, Jonghyup Kim, SeYoung Yun. 13-26 [doi]
- Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-valuesSebastian Weichwald, Martin E. Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando. 27-36 [doi]
- A Deep-learning-aided Automatic Vision-based Control Approach for Autonomous Drone Racing in Game of Drones CompetitionDonghwi Kim, Hyunjee Ryu, Jedsadakorn Yonchorhor, David Hyunchul Shim. 37-46 [doi]
- Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic ForecastingPedro Herruzo, Josep-Lluís Larriba-Pey. 47-55 [doi]
- Playing Minecraft with Behavioural CloningAnssi Kanervisto, Janne Karttunen, Ville Hautamäki. 56-66 [doi]
- Sample Efficient Reinforcement Learning through Learning from Demonstrations in MinecraftChristian Scheller, Yanick Schraner, Manfred Vogel. 67-76 [doi]
- F1TENTH: An Open-source Evaluation Environment for Continuous Control and Reinforcement LearningMatthew O'Kelly, Hongrui Zheng, Dhruv Karthik, Rahul Mangharam. 77-89 [doi]
- Catch Me, If You Can! A Mediated Perception Approach Towards Fully Autonomous Drone RacingFlorian Ölsner, Stefan Milz. 90-99 [doi]
- Evolution Algorithm and Online Learning for Racing DroneSangyun Shin, Yongwon Kang, Yong-Guk Kim. 100-109 [doi]
- The Causality for Climate CompetitionJakob Runge, Xavier-Andoni Tibau, Matthias Bruhns, Jordi Muñoz-Marí, Gustau Camps-Valls. 110-120 [doi]
- The First International Competition in Machine Reconnaissance Blind ChessRyan 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. 121-130 [doi]
- Empathic AI Painter: A Computational Creativity System with Embodied Conversational InteractionÖzge Nilay Yalçin, Nouf Abukhodair, Steve DiPaola. 131-141 [doi]
- REAL-2019: Robot open-Ended Autonomous Learning competitionEmilio Cartoni, Francesco Mannella, Vieri Giuliano Santucci, Jochen Triesch, Elmar Rueckert, Gianluca Baldassarre. 142-152 [doi]
- Graph-ResNets for short-term traffic forecasts in almost unknown citiesHenry Martin, Dominik Bucher, Ye Hong, René Buffat, Christian Rupprecht 0001, Martin Raubal. 153-163 [doi]
- The Animal-AI Testbed and CompetitionMatthew Crosby, Benjamin Beyret, Murray Shanahan, José Hernández-Orallo, Lucy Cheke, Marta Halina. 164-176 [doi]
- AirSim Drone Racing LabRatnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza 0001, Mac Schwager, Ashish Kapoor. 177-191 [doi]
- Visualizing and sonifying how an artificial ear hears musicVincent Herrmann. 192-202 [doi]
- Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement LearningStephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Keisuke Nakata, Oriol Vinyals, Noboru Sean Kuno. 203-214 [doi]
- MicroNet for Efficient Language ModelingZhongxia Yan, Hanrui Wang 0002, Demi Guo, Song Han 0003. 215-231 [doi]
- The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019David P. Kreil, Michael K. Kopp 0001, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter. 232-241 [doi]
- Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Júlio C. S. Jacques Júnior, Sergio Escalera, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu, Isabelle Guyon. 242-252 [doi]
- A Global Health Gym Environment for RL ApplicationsSekou L. Remy, Oliver Bent. 253-261 [doi]