Categories |
MACHINE LEARNING
ARTIFICIAL INTELLIGENCE
AUTOMATION
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About |
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The goals of the AutoML workshop are: · To identify opportunities and challenges for automation in machine learning · To provide an opportunity for researchers to discuss best practices for automation in machine learning, potentially leading to definition of standards · To provide a forum for researchers to speak out and debate on different ideas in the area of automation in machine learning |
Call for Papers |
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Topics include (but are not limited to): • Hyperparameter autotuning of machine learning algorithms • Neural Architecture Search (NAS) • Internet of things (IoT) and automation • Automation bias and misuse • Automated methods: · in machine learning, data mining, predictive analytics, and deep learning · in autonomous vehicles · in machine learning pipelines and process flows of production systems · in big data applications · to detect fake news · for adversarial robustness · for monitoring and updating models · for streaming data · for interpretable machine learning · for large-scale modeling · for data preparation and feature engineering · for variable selection and model selection |
Summary |
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AutoML 2020 : The Fourth International Workshop on Automation in Machine Learning will take place in San Diego, California - USA. It’s a 1 day event starting on Aug 24, 2020 (Monday) and will be winded up on Aug 24, 2020 (Monday). AutoML 2020 falls under the following areas: MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, AUTOMATION, etc. Submissions for this Workshop can be made by May 20, 2020. Authors can expect the result of submission by Jun 15, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 02, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the AutoML 2020
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Credits and Sources |
| [1] AutoML 2020 : The Fourth International Workshop on Automation in Machine Learning |
