Apr 18, 2023 · In this paper, we introduce METAM, a novel goal-oriented framework that queries the downstream task with a candidate dataset, forming a feedback ...

In this paper, we introduce METAM, a novel goal-oriented framework that queries the downstream task with a candidate dataset, forming a feedback loop that ...

In this paper, we introduce Metam, a novel goal-oriented framework that queries the downstream task with a candidate dataset, forming a feedback loop.

Goal-oriented data discovery paves the way to identify new causal relationships from large data repositories automatically. A trivial but computationally ...

Research questions: • Data Discovery: How to search for useful datasets? • Data sharing: How can we share and trade useful data? Challenges: Data Discovery. • ...

This paper introduces Metam, a novel goal-oriented framework that queries the downstream task with a candidate dataset, forming a feedback loop.

Metam is a goal-oriented data discovery system that takes a dataset as input and identifies augmentations that optimize a downstream task.

In this paper, we introduce METAM, a novel goal-oriented framework that queries the downstream task with a candidate dataset, forming a feedback loop that ...

Request PDF | On Apr 1, 2023, Sainyam Galhotra and others published Metam: Goal-Oriented Data Discovery | Find, read and cite all the research you need on ...

Metam: Goal-Oriented Data Discovery. Sainyam Galhotra, Yue Gong, Raul Castro Fernandez. January, 2023. Cite DOI URL. Type. Conference paper. Publication. 39th ...