| ICML Workshop on Machine Learning for Interactive Systems (MLIS'15) July 11, 2015, Lille, France
Proceedings published in the JMLR Workshop & Conference Series.
Submission dealine: 1 May, 2015
http://mlis-workshop.org/2015
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Call for Papers
Learning systems or robots that interact with their environment by perceiving, acting or communicating often face a challenge in how to bring these different concepts together. This challenge arises because core concepts are typically studied within their respective communities, such as the computer vision, robotics and natural language processing communities, among others. Building a bridge across communities is highly important for practical applications in robotics, human-robot interaction and intelligent interfaces. Equally important, it encourages basic and applied advances in research on adaptive sensorimotor, perception-action and perception- communication loops in general cognition, and also encourages research on novel ways for training systems from interaction with people in their physical environments to form generally intelligent systems.
Machine learning topics include, but are not limited to: - Reinforcement learning (direct and inverse) - Supervised learning - Unsupervised learning - active learning - Multi-task and transfer learning - Learning from human feedback - Learning from teaching, tutoring, instruction and demonstration - Combinations or generalisations of the above
Interactive systems using machine learning include, but are not limited to: - (Socially) Interactive robots - Embodied virtual agents - Avatars - Multimodal systems - Cognitive (robotics) architectures - Spoken dialogue systems
Types of communication include, but are not limited to: - System interacting with a single human user - System interacting multiple human users - System interacting with the environment - System interacting with other machines
Submissions can take two forms. Long papers should not exceed 8 pages, and short papers should not exceed 4 pages -- both excluding references. Position papers of either length are also welcome. All papers should follow the JMLR format: https://mlis-workshop.org/2015/format.tar.gz
Submissions should be made through the following EasyChair link: https://www.easychair.org/conferences/?conf=mlis2015
Overviews of machine learning topics for interactive system can be found here: http://dl.acm.org/citation.cfm?id=2493530 https://hal.archives-ouvertes.fr/hal-01073947/file/WACAI_2014_OPML.pdf
Invited Speakers: Juergen Schmidhuber (tbc), IDSIA, Switzerland Ruslan Salakhutdinov, university of Toronto, Canada Bjoern Schuller, Imperial College, United Kingdom Ashutosh Saxena, Cornell university , United States
Important Dates: May 1, Paper due date May 10, Notification of acceptance May 24, Camera-ready deadline July 10-11, MLIS'15 Workshop
Organising Committee: Heriberto Cuayáhuitl, Heriot-Watt University, Edinburgh, UK Nina Dethlefs, University of Hull, UK Lutz Frommberger, University of Bremen, Germany Martijn van Otterlo, Radboud University Nijmegen, The Netherlands Olivier Pietquin, University Lille 1, France
Contact: organizers@mlis-workshop.org |