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AutoML@ICML 2021 : 8th ICML Workshop on Automated Machine Learning (AutoML)


When Jul 23, 2021 - Jul 24, 2021
Where Virtual Only
Submission Deadline May 19, 2021
Notification Due Jun 21, 2021
Final Version Due Jul 9, 2021
Categories    automl

Call For Papers

We invite submissions on the topics of:
* Model selection, hyper-parameter optimization, and model search
* Neural architecture search
* Meta-learning and transfer learning
* Bayesian optimization for AutoML
* Evolutionary algorithms for AutoML
* Multi-fidelity optimization
* Predictive models of performance
* Automatic feature extraction / construction
* Automatic data cleaning
* Automatic generation of workflows / workflow reuse
* Automatic problem "ingestion" (from raw data and miscellaneous formats)
* Automatic feature transformation to match algorithm requirements
* Automatic acquisition of new data (active learning, experimental design)
* Automatic report generation (providing insight on automatic data analysis)
* Automatic selection of evaluation metrics / validation procedures
* Automatic selection of algorithms under time/space/power constraints
* Automatic construction of fair and unbiased machine learning models
* Automation of semi-supervised and unsupervised machine learning
* Demos of existing AutoML systems
* Robustness of AutoML systems (w.r.t. Randomized algorithms, data, hardware etc.)
* Human-in-the-loop approaches for AutoML
* Learning to learn new algorithms and strategies
* Hyperparameter agnostic algorithms

Submission Format
We welcome submissions up to 6 pages in JMLR Workshop and Proceedings format (plus 10 pages for references and appendix). All accepted papers will be presented as posters. We will invite the 2-3 best papers for an oral plenary presentation. Unless indicated by the authors, we will provide PDFs of all accepted papers on There will be no archival proceedings. For submission details see

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