ICML 2011 - 28th International Conference on Machine Learning (ICML 2011)

The 28th
International Conference on Machine Learning

The International Conference on Machine Learning (ICML) is the premier conference for machine learning research. It is organized by the International Machine Learning Society (IMLS).
ICML 2011, the 28th International Conference on Machine Learning, will be held in Bellevue, Washington, USA, from June 28 to July 2, 2011.

Call for Papers

ICML 2011 invites the submission of engaging papers on substantial, original, and previously unpublished research in all aspects of machine learning. We welcome submissions of innovative work on systems that are self adaptive, systems that improve their own performance, or systems that apply logical, statistical, probabilistic or other formalisms to the analysis of data, to the learning of predictive models, to cognition, or to interaction with the environment. We welcome innovative applications, theoretical contributions, carefully evaluated empirical studies, and we particularly welcome work that combines all of these elements. We also encourage submissions that bridge the gap between machine learning and other fields of research.

Conference Format

The conference will include three days of technical presentations, one day of tutorials and one day of workshops. In addition the conference will feature a joint workshop with the Annual Meeting of the Association for Computational Linguistics (ACL). Accepted papers will each have an oral presentation as well as a poster in an evening poster session. Awards will be given for papers of outstanding quality. There will also be talks by several invited speakers, and a banquet.
Important Dates

Workshop and tutorial proposals due: January 14, 2011.
Paper submissions due: February 1, 2011.
Author response period: March 25-30, 2011.
Author notification: April 19, 2011.
Workshop submissions due: April 29, 2011.
Workshop author notification: May 20, 2011.
Joint workshop with ACL 2011: June 27, 2011.
Tutorials: June 28, 2011.
Main conference: June 29 - July 1, 2011.
Workshops: July 2, 2011.
Submission

The submission of papers and the management of the paper reviewing process will be entirely electronic. Detailed formatting and submission instructions for authors will be available on this website.
Reviewing Process

The review process incorporates some of the community feedback. Authors, reviewers, and area chairs indicate subject areas. With the help of these subject areas, area chairs bid for papers and one area chair is assigned to each paper. During a first round of reviewing, each paper will receive two reviews. First-round reviewers are assigned via subject areas and bidding. Area chairs will then select additional reviewers manually based on the first-round reviews. Authors will then have the opportunity to see and respond to the reviews before a final decision is made. Final decisions will be made using the input from all reviewers, the author feedback, the area chair, and the program chairs. Reviewing for ICML 2011 will be blind to the identities of the authors.
ICML 2011 will not accept any paper that is substantially similar to another paper that is currently under review or has already been accepted for publication in a journal or another conference. Please clearly indicate in the submission which contributions are novel and which are previous work, either by the authors or others. If a paper submitted to ICML 2011 and another already published or already submitted paper contain substantial overlap in content and this overlap is not clearly indicated (anonymously) as being previous work, then the ICML submission may be rejected on the grounds of being a dual submission. Similarly, authors must withdraw their papers if they submit an overlapping paper elsewhere during the ICML review period. For papers published in substantially disjoint communities (application conferences, for example), the amount of novel content a paper needs to contain may be less, as long as the submitted papers are themselves clearly targeted to a machine-learning audience.

With your help, we expect another excellent conference!