GAMA: a General Automated Machine learning Assistant
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.
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AutoMLBenchmarkingBIG-bench Machine LearningSimilar Papers 제목 키워드 기반
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
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Language ModelingLanguage ModellingLarge Language ModelPlant PhenotypingGAMA: Geometry-Aware Manifold Alignment via Structured Adversarial Perturbations for Robust Domain Adaptation
Domain adaptation remains a challenge when there is significant manifold discrepancy between source and target domains. Although recent methods leverage manifold-aware adversarial perturbations to perform data augmentati…
Data AugmentationDomain Adaptation