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20162026
most citedPredicting Performance on MOOC Assessments using Multi-Regression Models

51 citations · 220 across the 70 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

q-bio.QM2022★ 2 cited

Training self-supervised peptide sequence models on artificially chopped proteins

Gil Sadeh, Zichen Wang, Jasleen Grewal +2

Representation learning for proteins has primarily focused on the global understanding of protein sequences regardless of their length. However, shorter proteins (known as peptides…

cs.LG2022

Ex-Ante Assessment of Discrimination in Dataset

Jonathan Vasquez, Xavier Gitiaux, Huzefa Rangwala

Data owners face increasing liability for how the use of their data could harm under-priviliged communities. Stakeholders would like to identify the characteristics of data that le…

cs.LG2022

SoFaiR: Single Shot Fair Representation Learning

Xavier Gitiaux, Huzefa Rangwala

To avoid discriminatory uses of their data, organizations can learn to map them into a representation that filters out information related to sensitive attributes. However, all exi…

cs.CL2022★ 1 cited

Improving Zero-Shot Event Extraction via Sentence Simplification

Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan

The success of sites such as ACLED and Our World in Data have demonstrated the massive utility of extracting events in structured formats from large volumes of textual data in the…

cs.CY2022★ 2 cited

Trade-offs between Group Fairness Metrics in Societal Resource Allocation

Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala +2

We consider social resource allocations that deliver an array of scarce supports to a diverse population. Such allocations pervade social service delivery, such as provision of hom…