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ELLIS is a network of excellence connecting top AI researchers across European borders to strengthen the leadership of AI made in Europe.
Avik Pal
PhD
Foundation Models for Improving and Auditing Data at Scale
The goal of this project is to develop novel and automated data auditing methods, leveraging foundation models. These methods shall enable data analysis at scale, provide insights into models' generalization capabilities and aid performance estimation in new domains. Additionally, outcomes from data auditing will be utilized to improve data quality, e.g., pruning less relevant samples, adding more valuable ones, and generating advanced annotations to expedite learning with smaller models and model evaluation.
Track:
Industry Track
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