A Guide to the NeurIPS 2018 Competitions
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. In this volume, we present the details of eight competitions in the area of AI which took place between February to December 2018 and were presented at the Neural Information Processing Systems conference in Montreal, Canada on December 8, 2018. The competitions ranged from challenges in Robotics, Computer Vision, Natural Language Processing, Games, Health, Systems to Physics.
KeywordsCompetitions Robotics Computer vision Natural language processing Health Games Systems Physics
- 1.Claire Adam-Bourdarios, G Cowan, Cecile Germain-Renaud, Isabelle Guyon, Balázs Kégl, and D Rousseau. The Higgs machine learning challenge. In Journal of Physics: Conference Series, volume 664. IOP Publishing, 2015.Google Scholar
- 11.Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. Improving language understanding by generative pre-training. Technical report, OpenAI, 2018. URL https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf.
- 13.Ilya Sutskever, Oriol Vinyals, and Quoc V Le. Sequence to sequence learning with neural networks. In Advances in Neural Information Processing Systems, pages 3104–3112, 2014.Google Scholar