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The NeurIPS '18 Competition

From Machine Learning to Intelligent Conversations

  • Sergio Escalera
  • Ralf Herbrich
Conference proceedings

Table of contents

  1. Front Matter
    Pages i-vii
  2. Ralf Herbrich, Sergio Escalera
    Pages 1-9
  3. Cinjon Resnick, Chao Gao, Görög Márton, Takayuki Osogami, Liang Pang, Toshihiro Takahashi
    Pages 11-36
  4. Julian Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F. Daniele, Manfred Diaz et al.
    Pages 37-68
  5. Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty, Jennifer Hicks, Sean Carroll, Bo Zhou et al.
    Pages 69-128
  6. Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Sharada P. Mohanty et al.
    Pages 129-153
  7. James Atwood, Yoni Halpern, Pallavi Baljekar, Eric Breck, D. Sculley, Pavel Ostyakov et al.
    Pages 155-186
  8. Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek et al.
    Pages 187-208
  9. Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen et al.
    Pages 209-229
  10. Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Victor Estrade, Steven Farrell, Diogo R. Ferreira et al.
    Pages 231-264
  11. Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian
    Pages 265-276
  12. Varvara Logacheva, Valentin Malykh, Aleksey Litinsky, Mikhail Burtsev
    Pages 277-294
  13. Sergey Golovanov, Alexander Tselousov, Rauf Kurbanov, Sergey I. Nikolenko
    Pages 295-315
  14. Jobin Wilson, Amit Kumar Meher, Bivin Vinodkumar Bindu, Santanu Chaudhury, Brejesh Lall, Manoj Sharma et al.
    Pages 317-335
  15. Back Matter
    Pages 337-342

About these proceedings

Introduction

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.

Keywords

deep reinforcement learning neural information processing systems adversarial learning automatic machine learning conversational settings natural language processing chatbots energy physics intelligent agents computer vision machine learning Robotics Health Games Systems

Editors and affiliations

  • Sergio Escalera
    • 1
  • Ralf Herbrich
    • 2
  1. 1.Universitat de Barcelona and Computer, Vision CenterBarcelonaSpain
  2. 2.Amazon (Berlin)BerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-29135-8
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-29134-1
  • Online ISBN 978-3-030-29135-8
  • Series Print ISSN 2520-131X
  • Series Online ISSN 2520-1328
  • Buy this book on publisher's site