posted by system || 905 views || tracked by 7 users: [display]

AutoML 2016 : The ICML 2016 Workshop on Automatic Machine Learning

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/site/automl2016/home
 
When Jun 23, 2016 - Jun 24, 2016
Where New York City
Submission Deadline May 1, 2016
Notification Due May 10, 2016
 

Call For Papers

Call for papers
Machine learning has achieved considerable successes in recent years, but these successes crucially rely on human machine learning experts, who select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. As the complexity of these tasks is often beyond non-experts, the rapid growth of machine learning applications has created a demand for off-the-shelf machine learning methods that can be used easily and without expert knowledge. We call the resulting research area that targets progressive automation of machine learning AutoML.

AutoML aims to automate many different stages of the machine learning process such as:
Model selection, hyper-parameter optimization, and model search
Meta learning and transfer learning
Representation learning and automatic feature extraction / construction
Demonstrations (demos) of working AutoML systems
Automatic generation of workflows / workflow reuse
Automatic problem "ingestion" (from raw data and miscellaneous formats)
Automatic feature transformation to match algorithm requirements
Automatic detection and handling of skewed data and/or missing values
Automatic acquisition of new data (active learning, experimental design)
Automatic report writing (providing insight on automatic data analysis)
Automatic selection of evaluation metrics / validation procedures
Automatic selection of algorithms under time/space/power constraints
User interfaces for AutoML
Automatic leakage detection
Automatic inference and differentiation
We especially encourage demos of working AutoML systems; demo proposals are submitted through an accompanying paper. We also encourage the participants of the AutoML challenge (http://automl.chalearn.org/) to submit a paper.
The best 2-3 papers will be invited for oral plenary presentation. All other accepted papers will be presented as posters and short poster spotlight presentations. We plan to invite the authors of high-quality submissions to submit extended versions of their work for another round of reviews and publication in the post-workshop proceedings. For submission details please see the submission page.

Important Dates:
Submission deadline: May 1, 2016, UTC-12 (May 1 anywhere in the world)
Notification of acceptance: May 10, 2016

Related Resources

ICML 2017   34th International Conference on Machine Learning
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ICONIP 2017   International Conference on Neural Information Processing
EMNLP 2017   Empirical Methods in Natural Language Processing
INIT/AERFAISummerSchoolML 2017   INIT/AERFAI Summer School on Machine Learning
BMVC 2017   British Machine Vision Conference
ISIS 2017   The 18th International Symposium on Advanced Intelligent Systems (ISIS2017)
AIM@EPIA 2017   Artificial Intelligence in Medicine
DMBD 2017   DMBD'2017:Call for Papers (Jan. 30, 2017)