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ORCIDNeurIPS 2019 Competition and Demonstration Track, Vancouver, Canada.
- Hugo Jair Escalante, Raia Hadsell:
NeurIPS 2019 Competition and Demonstration Track, 8-14 December 2019, Vancouver, Canada. Revised selected papers. Proceedings of Machine Learning Research 123, PMLR 2019 - Hugo Jair Escalante, Raia Hadsell:
NeurIPS 2019 Competition and Demonstration Track Revised selected papers. 1-12 - Taehyeon Kim, Jonghyup Kim, Seyoung Yun:
Efficient Model for Image Classification With Regularization Tricks. 13-26 - Sebastian Weichwald, Martin Emil Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando:
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values. 27-36 - Donghwi Kim, Hyunjee Ryu, Jedsadakorn Yonchorhor, David Hyunchul Shim:
A Deep-learning-aided Automatic Vision-based Control Approach for Autonomous Drone Racing in Game of Drones Competition. 37-46 - Pedro Herruzo, Josep Lluís Larriba-Pey:
Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting. 47-55 - Anssi Kanervisto, Janne Karttunen, Ville Hautamäki:
Playing Minecraft with Behavioural Cloning. 56-66 - Christian Scheller, Yanick Schraner, Manfred Vogel:
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft. 67-76 - Matthew O'Kelly, Hongrui Zheng, Dhruv Karthik, Rahul Mangharam:
F1TENTH: An Open-source Evaluation Environment for Continuous Control and Reinforcement Learning. 77-89 - Florian Ölsner, Stefan Milz:
Catch Me, If You Can! A Mediated Perception Approach Towards Fully Autonomous Drone Racing. 90-99 - Sangyun Shin
, Yongwon Kang, Yong-Guk Kim:
Evolution Algorithm and Online Learning for Racing Drone. 100-109 - Jakob Runge, Xavier-Andoni Tibau, Matthias Bruhns, Jordi Muñoz-Marí, Gustau Camps-Valls:
The Causality for Climate Competition. 110-120 - 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:
The First International Competition in Machine Reconnaissance Blind Chess. 121-130 - Özge Nilay Yalçin, Nouf Abukhodair, Steve DiPaola:
Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction. 131-141 - Emilio Cartoni, Francesco Mannella, Vieri Giuliano Santucci, Jochen Triesch, Elmar Rueckert, Gianluca Baldassarre:
REAL-2019: Robot open-Ended Autonomous Learning competition. 142-152 - Henry Martin, Dominik Bucher, Ye Hong, René Buffat, Christian Rupprecht, Martin Raubal:
Graph-ResNets for short-term traffic forecasts in almost unknown cities. 153-163 - Matthew Crosby, Benjamin Beyret, Murray Shanahan, José Hernández-Orallo, Lucy Cheke, Marta Halina:
The Animal-AI Testbed and Competition. 164-176 - Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. 177-191 - Vincent Herrmann:
Visualizing and sonifying how an artificial ear hears music. 192-202 - Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Keisuke Nakata, Oriol Vinyals, Noboru Sean Kuno:
Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning. 203-214 - Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han:
MicroNet for Efficient Language Modeling. 215-231 - David P. Kreil, Michael K. Kopp, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter:
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. 232-241 - Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Júlio C. S. Jacques Júnior, Sergio Escalera, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu, Isabelle Guyon:
Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. 242-252 - Sekou L. Remy, Oliver Bent:
A Global Health Gym Environment for RL Applications. 253-261
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