MLIS 2015 - Workshop on Machine Learning for Interactive Systems (MLIS'15)

ICML Workshop on Machine Learning for Interactive Systems (MLIS'15)
July 11, 2015, Lille, France
http://mlis-workshop.org/2015
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=mlis20...
Accepted papers will be published in the JMLR Workshop & Conference Proceedings.
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...
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
Manuel Lopes, INRIA, France
Olivier Pietquin, University Lille 1, France
Contact: organizers-AT-mlis-workshop.org