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Found 3 papers, 1 papers with code
CHORUS: Foundation Models for Unified Data Discovery and Exploration
On all three tasks, we show that a foundation-model-based approach outperforms the task-specific models and so the state of the art.
Mining Robust Default Configurations for Resource-constrained AutoML
Automatic machine learning (AutoML) is a key enabler of the mass deployment of the next generation of machine learning systems.
Causal Relational Learning
Causal inference is at the heart of empirical research in natural and social sciences and is critical for scientific discovery and informed decision making.
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