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Simplicity Bias Leads to Amplified Performance Disparities
Finally, we present two real-world examples of difficulty amplification in action, resulting in worse-than-expected performance disparities between groups even when using a balanced dataset.
Modeling the Machine Learning Multiverse
Amid mounting concern about the reliability and credibility of machine learning research, we present a principled framework for making robust and generalizable claims: the multiverse analysis.
The Effect of Task Ordering in Continual Learning
Connecting to the field of curriculum learning, we show that the effect of task ordering can be exploited to modify continual learning performance, and present a simple approach for doing so.
Behavioral Experiments for Understanding Catastrophic Forgetting
In this paper we explore whether the fundamental tool of experimental psychology, the behavioral experiment, has the power to generate insight not only into humans and animals, but artificial systems too.
Perspectives on Machine Learning from Psychology's Reproducibility Crisis
In the early 2010s, a crisis of reproducibility rocked the field of psychology.
