posted by user: icie || 2910 views || tracked by 8 users: [display]

IUI IMLW 2013 : Interactive Machine Learning Workshop at IUI 2013


When Mar 19, 2013 - Mar 19, 2013
Where Santa Monica, USA
Submission Deadline Jan 9, 2013
Notification Due Feb 4, 2013
Categories    HCI   machine learning   artificial intelligence

Call For Papers

Interactive Machine Learning Workshop at IUI 2013

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

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)

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
Submissions: Please submit your abstracts at:

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

Related Resources

IUI 2020   ACM International Conference on Intelligent User Interfaces
FAIML 2020-Ei Compendex & Scopus 2020   2020 2nd International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2020)
IUI 2021   ACM Conference on Intelligent User Interfaces
AICA 2020   O'Reilly AI Conference San Jose
Fintech 2020   Sustainaility (Q2): Fintech: Recent Advancements in Modern Techniques, Methods and Real-World Solutions
JSE 2020   9th International Conference on Software Engineering and Applications
IUI 2021   ACM Intelligent User Interfaces 2021
COMIT 2020   4th International Conference on Computer Science and Information Technology
SI-DAMLE 2020   Special Issue on Data Analytics and Machine Learning in Education
DATA 2021   International Conference on Data Science, E-learning and Information Systems 2021