TBA
TBA
Abstract:
Human beings have the remarkable capability to learn from limited data, with partial or little annotation, in sharp contrast to computational vision models that rely on large-scale, manually labeled data...
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While scientists conduct their work in collaborative teams, locally, nationally, and globally, participation in teams is not necessarily diverse. In some disciplines where women and people of color are severely...
Abstract: The label "Cloud" attracts considerable hype and sprawls across the ecosystem of computational, communication and storage elements. Fundamentally it is the data, and especially the integrity of the data, across...
As scalable learning technologies become more ubiquitous, student data can (and should) be analyzed to develop new instructional technologies, such as personalized practice schedules and data-driven assessments. I will...
Causal inference from observational data is a vital problem, but it comes with strong assumptions. Most methods require that we observe all confounders, variables that affect both the causal variables andthe outcome...