This talk explores techniques for injecting insight into data representations to increase effectiveness in model performance, especially in a cross-domain setting.
As artificial intelligence systems pervade day-to-day life, the need for these systems to be robust, fair, accurate, and just has become of urgent importance.
Large-scale datasets play a crucial role in the performance, accuracy, robustness, fairness, and trustworthiness of AI systems.
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