Trends in Machine Learning & Deep Learning with Zack Lipton - #334
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Exploring Robustness in Invariant Risk Minimization Models
This chapter explores the development of invariant risk minimization models and their application in ensuring model generalization across diverse environments. It includes empirical experiments that assess the influence of distractors, aiming to enhance model reliability even when feature correlations vary in unseen data.
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