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Publication search results
found 24 matches
- 2019
- Emilio Cartoni, Francesco Mannella, Vieri Giuliano Santucci, Jochen Triesch, Elmar Rueckert, Gianluca Baldassarre:
REAL-2019: Robot open-Ended Autonomous Learning competition. NeurIPS (Competition and Demos) 2019: 142-152 - Matthew Crosby, Benjamin Beyret, Murray Shanahan, José Hernández-Orallo, Lucy Cheke, Marta Halina:
The Animal-AI Testbed and Competition. NeurIPS (Competition and Demos) 2019: 164-176 - Hugo Jair Escalante, Raia Hadsell:
NeurIPS 2019 Competition and Demonstration Track Revised selected papers. NeurIPS (Competition and Demos) 2019: 1-12 - 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. NeurIPS (Competition and Demos) 2019: 121-130 - Vincent Herrmann:
Visualizing and sonifying how an artificial ear hears music. NeurIPS (Competition and Demos) 2019: 192-202 - Pedro Herruzo, Josep Lluís Larriba-Pey:
Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting. NeurIPS (Competition and Demos) 2019: 47-55 - Anssi Kanervisto, Janne Karttunen, Ville Hautamäki:
Playing Minecraft with Behavioural Cloning. NeurIPS (Competition and Demos) 2019: 56-66 - Taehyeon Kim, Jonghyup Kim, Seyoung Yun:
Efficient Model for Image Classification With Regularization Tricks. NeurIPS (Competition and Demos) 2019: 13-26 - 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. NeurIPS (Competition and Demos) 2019: 37-46 - 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. NeurIPS (Competition and Demos) 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. NeurIPS (Competition and Demos) 2019: 242-252 - Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. NeurIPS (Competition and Demos) 2019: 177-191 - Henry Martin, Dominik Bucher, Ye Hong, René Buffat, Christian Rupprecht, Martin Raubal:
Graph-ResNets for short-term traffic forecasts in almost unknown cities. NeurIPS (Competition and Demos) 2019: 153-163 - 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. NeurIPS (Competition and Demos) 2019: 203-214 - Matthew O'Kelly, Hongrui Zheng, Dhruv Karthik, Rahul Mangharam:
F1TENTH: An Open-source Evaluation Environment for Continuous Control and Reinforcement Learning. NeurIPS (Competition and Demos) 2019: 77-89 - Florian Ölsner, Stefan Milz:
Catch Me, If You Can! A Mediated Perception Approach Towards Fully Autonomous Drone Racing. NeurIPS (Competition and Demos) 2019: 90-99 - Sekou L. Remy, Oliver Bent:
A Global Health Gym Environment for RL Applications. NeurIPS (Competition and Demos) 2019: 253-261 - Jakob Runge, Xavier-Andoni Tibau, Matthias Bruhns, Jordi Muñoz-Marí, Gustau Camps-Valls:
The Causality for Climate Competition. NeurIPS (Competition and Demos) 2019: 110-120 - Christian Scheller, Yanick Schraner, Manfred Vogel:
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft. NeurIPS (Competition and Demos) 2019: 67-76 - Sangyun Shin, Yongwon Kang, Yong-Guk Kim:
Evolution Algorithm and Online Learning for Racing Drone. NeurIPS (Competition and Demos) 2019: 100-109 - 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. NeurIPS (Competition and Demos) 2019: 27-36 - Özge Nilay Yalçin, Nouf Abukhodair, Steve DiPaola:
Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction. NeurIPS (Competition and Demos) 2019: 131-141 - Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han:
MicroNet for Efficient Language Modeling. NeurIPS (Competition and Demos) 2019: 215-231 - 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 [contents]
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