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
  • Neural architecture search
  • Meta learning and transfer learning
  • 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
  • Automatic prediction post-processing and calibration
  • Automatic leakage detection
  • Automatic inference and differentiation
  • User interfaces and human-in-the-loop approaches for AutoML

We especially encourage demos of working AutoML systems; demo proposals are submitted through an accompanying paper.
All accepted papers will be presented as posters and in a 1-minute spotlight presentation. Two papers will also be invited for oral plenary presentation.

Unless otherwise indicated, we will provide PDFs of all accepted papers on this website. For submission details please see the submission page. 

Important Dates:

  • Submission deadline: May 25 2018, UTC-12 (anywhere in the world)
  • Notification of acceptance: June 16, 2018

Confirmed invited speakers:

  • Chelsea Finn
  • Yolanda Gil
  • Luc de Raedt¬†
  • Ameet Talwalkar

Chairs: Roman Garnett, Frank Hutter, Joaquin Vanschoren

Organizing committee: Pavel Brazdil, Christophe Giraud-Carrier, Isabelle Guyon

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