A Data-Centric View on Robustness - IFDS 2022

YouTube·Machine Learning

Explore a data-centric approach to robustness in machine learning with Ludwig Schmidt from the University of Washington in this insightful conference talk from IFDS 2022. Delve into the importance of data quality and its impact on model performance, examining how a focus on data can enhance the resilience of AI systems. Gain valuable insights into cutting-edge research and practical strategies for improving model robustness through data-centric methodologies.