mlsanityData to 7 Oct 2026

GAMA: a General Automated Machine learning Assistant

arXiv 2007.04911 ↗First posted 9 Jul 2020cs.LG stat.MLcited by 15

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Abstract (arXiv)

The General Automated Machine learning Assistant (GAMA) is a modular AutoML system developed to empower users to track and control how AutoML algorithms search for optimal machine learning pipelines, and facilitate AutoML research itself. In contrast to current, often black-box systems, GAMA allows users to plug in different AutoML and post-processing techniques, logs and visualizes the search process, and supports easy benchmarking. It currently features three AutoML search algorithms, two model post-processing steps, and is designed to allow for more components to be added.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jul 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 5; 2023: 0; 2024: 6; 2025: 3; 2026: 1.

15 papers.

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  1. 2022AMLB: an AutoML Benchmarkcited by 55
  2. 2024Position: A Call to Action for a Human-Centered AutoML Paradigmcited by 14
  3. 2024AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Modelscited by 13
  4. 2022Online AutoML: An adaptive AutoML framework for online learningcited by 11
  5. 2024Don't Waste Your Time: Early Stopping Cross-Validationcited by 6
  6. 2022Meta-Learning for Unsupervised Outlier Detection with Optimal Transportcited by 5
  7. 2022AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworkscited by 3
  8. 2022Automated Imbalanced Learningcited by 3
  9. 2024UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Modelscited by 1
  10. 2025AutoML Benchmark with shorter time constraints and early stoppingcited by 1
  11. 2024CLAMS: A System for Zero-Shot Model Selection for Clusteringcited by 0
  12. 2024Can time series forecasting be automated? A benchmark and analysiscited by 0
3 more
  1. 2025AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Datacited by 0
  2. 2025Automated Machine Learning for Unsupervised Tabular Taskscited by 0
  3. 2026Large Language Models for Automated Cross-Domain Machine Learning Task Type Identification: A Benchmark Dataset and Evaluationcited by 0