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IUI IMLW 2013 : Interactive Machine Learning Workshop at IUI 2013 | |||||||||||||
Link: https://sites.google.com/site/iui2013imlw | |||||||||||||
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Call For Papers | |||||||||||||
Interactive Machine Learning Workshop at IUI 2013
https://sites.google.com/site/iui2013imlw Workshop description and goals ------------------------------ Many applications of Machine Learning (ML) involve interactions with humans. Humans may provide input to a learning algorithm (e.g., in the form of labels, demonstrations, corrections, rankings or evaluations) while observing its outputs (e.g., in the form of feedback, predictions or executions). Although humans are an integral part of the learning process, traditional ML systems used in these applications are agnostic to the fact that inputs/outputs are from/for humans. However, a growing community of researchers at the intersection of ML and human-computer interaction are making interaction with humans a central part of developing ML systems. These efforts include applying interaction design principles to ML systems, using human-subject testing to evaluate ML systems and inspire new methods, and changing the input and output channels of ML systems to better leverage human capabilities. With this workshop at IUI 2013 we aim to bring this community together to share ideas, get up-to-date on recent advances, progress towards a common framework and terminology for the field, and discuss the open questions and challenges. Topics relevant for the workshop include: - End-user programming - Active Learning - Reinforcement Learning with human feedback or guidance - Interactive clustering - Feature labeling - Programming by Demonstration - Transparency and feedback in ML - Empirical studies and computational models of human teaching - Democratizing ML - Human-in-the-loop intelligent systems Invited Speakers ---------------- Rebecca Fiebrink - Princeton University Chad Jenkins - Brown University Ashish Kapoor - Microsoft Research Henry Leiberman - MIT (more to be announced) Contributions ------------- We invite contributions in the form of 2-page abstracts that summarize ongoing or recent research related to Interactive ML or describe potential application domains for Interactive ML. Abstracts may describe previously published work. Selection will be based on the relevance and quality of the work and will aim at balancing perspectives and backgrounds of participants. Accepted abstracts will be presented as a poster and a short spotlight talk prior to the poster session. Important Dates --------------- January 9th, 2013 - Abstract submission deadline February 4, 2012 - Notification of acceptance February 18, 2012 - Camera-ready submission deadline March 19, 2013 - Workshop in Santa Monica, CA Author information ------------------ Formatting: Please use the ACM Extended Abstract format http://chi2012.acm.org/cfp-formatting-instructions.shtml#extendedformat Submissions: Please submit your abstracts at: https://www.easychair.org/conferences/?conf=iui2013imlw Organizing Committee -------------------- Saleema Amershi - Microsoft Research Maya Cakmak - Willow Garage W. Bradley Knox - MIT Todd Kulesza - Oregon State University Tessa Lau - Willow Garage Program Committee ----------------- Luis Carlos Cobo, Georgia Institute of Technology Nick DePalma, MIT Hayley Hung, University of Amsterdam Kshitij Judah, Oregon State University George Konidaris, MIT Manuel Lopes, INRIA Stephanie Rosenthal, Bossa Nova Robotics Simone Stumpf, City University London Bener Suay, WPI James E. Young, University of Manitoba |
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