14 citations · 50 across the 17 of their papers we have counts for
29 papers
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…
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…
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…
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…
Asynchronous Federated Learning for Sensor Data with Concept Drift
Yujing Chen, Zheng Chai, Yue Cheng +1
Federated learning (FL) involves multiple distributed devices jointly training a shared model without any of the participants having to reveal their local data to a centralized ser…
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1
Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work, we combine data augme…