Editors:
- The NeurIPS Competition evaluates the performance of an entire system rather than a well-isolated task or component, enabling the evaluation of the feasibility of an algorithm extracting key predictive signal from a dataset, as well as the implementation in a running production system
- Presents a stronger focus on live competitions, including the competition finals at the NeurIPS 2018 conference
- New data sets and top winning solutions are presented
Part of the book series: The Springer Series on Challenges in Machine Learning (SSCML)
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Table of contents (13 papers)
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Front Matter
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Back Matter
About this book
This volume presents the results of the Neural Information Processing Systems Competition track at the 2018 NeurIPS conference. The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight competition proposals were selected, spanning the area of Robotics, Health, Computer Vision, Natural Language Processing, Systems and Physics.
Competitions have become an integral part of advancing state-of-the-art in artificial intelligence (AI). They exhibit one important difference to benchmarks: Competitions test a system end-to-end rather than evaluating only a single component; they assess the practicability of an algorithmic solution in addition to assessing feasibility.
The eight run competitions aim at advancing the state of the art in deep reinforcement learning, adversarial learning, and auto machine learning, among others, including new applications for intelligent agents in gaming and conversational settings, energy physics, and prosthetics.
Editors and Affiliations
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Universitat de Barcelona and Computer, Vision Center, Barcelona, Spain
Sergio Escalera
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Amazon (Berlin), Berlin, Germany
Ralf Herbrich
Bibliographic Information
Book Title: The NeurIPS '18 Competition
Book Subtitle: From Machine Learning to Intelligent Conversations
Editors: Sergio Escalera, Ralf Herbrich
Series Title: The Springer Series on Challenges in Machine Learning
DOI: https://doi.org/10.1007/978-3-030-29135-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-29134-1Published: 30 November 2019
eBook ISBN: 978-3-030-29135-8Published: 29 November 2019
Series ISSN: 2520-131X
Series E-ISSN: 2520-1328
Edition Number: 1
Number of Pages: VII, 342
Number of Illustrations: 130 b/w illustrations
Topics: Artificial Intelligence, Image Processing and Computer Vision, Pattern Recognition