37 citations · 181 across the 30 of their papers we have counts for
4 papers · 2 filters
Exacerbating Algorithmic Bias through Fairness Attacks
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter +1
Algorithmic fairness has attracted significant attention in recent years, with many quantitative measures suggested for characterizing the fairness of different machine learning al…
One-shot Learning for Temporal Knowledge Graphs
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren +2
Most real-world knowledge graphs are characterized by a long-tail relation frequency distribution where a significant fraction of relations occurs only a handful of times. This obs…
Statistical Equity: A Fairness Classification Objective
Ninareh Mehrabi, Yuzhong Huang, Fred Morstatter
Machine learning systems have been shown to propagate the societal errors of the past. In light of this, a wealth of research focuses on designing solutions that are "fair." Even w…
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
Woojeong Jin, Rahul Khanna, Suji Kim +4
Event forecasting is a challenging, yet important task, as humans seek to constantly plan for the future. Existing automated forecasting studies rely mostly on structured data, suc…