Unsupervised Ensemble Learning Through Deep Energy-based Models | ScienceToStartup | ScienceToStartup

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References (46)

[1]

TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications

2023David Salinas, Nick Erickson

[2]

A Lightweight, Effective, and Efficient Model for Label Aggregation in Crowdsourcing

2023Yi Yang, Zhong-Qiu Zhao et al.

[3]

MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields

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"Develop an advanced unsupervised ensemble learning tool that leverages deep energy-based models to improve prediction accuracy without labeled data."

Ensemble Learning•Score: 5•View PDF ↗

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Unsupervised Ensemble Learning Through Deep Energy-based Models

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References (46)

Founder's Pitch

"Develop an advanced unsupervised ensemble learning tool that leverages deep energy-based models to improve prediction accuracy without labeled data."

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Unsupervised Ensemble Learning Through Deep Energy-based Models

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References (46)

Founder's Pitch

"Develop an advanced unsupervised ensemble learning tool that leverages deep energy-based models to improve prediction accuracy without labeled data."

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