183 citations · 332 across the 7 of their papers we have counts for
8 papers
Hybrid Forecasting of Geopolitical Events
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas +26
Sound decision-making relies on accurate prediction for tangible outcomes ranging from military conflict to disease outbreaks. To improve crowdsourced forecasting accuracy, we deve…
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
Abel Salinas, Parth Vipul Shah, Yuzhong Huang +2
Large Language Models (LLMs) have seen widespread deployment in various real-world applications. Understanding these biases is crucial to comprehend the potential downstream conseq…
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…
Anchor Attention for Hybrid Crowd Forecasts Aggregation
Yuzhong Huang, Andres Abeliuk, Fred Morstatter +2
In a crowd forecasting system, aggregation is an algorithm that returns aggregated probabilities for each question based on the probabilities provided per question by each individu…
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Wenbin Li, Sajad Saeedi, John McCormac +6
Datasets have gained an enormous amount of popularity in the computer vision community, from training and evaluation of Deep Learning-based methods to benchmarking Simultaneous Loc…
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning
Wanjia Liu, Huaijin Chen, Rishab Goel +3
Good temporal representations are crucial for video understanding, and the state-of-the-art video recognition framework is based on two-stream networks. In such framework, besides…
On Extended Long Short-term Memory and Dependent Bidirectional Recurrent Neural Network
Yuanhang Su, C. -C. Jay Kuo
In this work, we first analyze the memory behavior in three recurrent neural networks (RNN) cells; namely, the simple RNN (SRN), the long short-term memory (LSTM) and the gated rec…
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis
Yuanhang Su, Yuzhong Huang, C. -C. Jay Kuo
A novel text data dimension reduction technique, called the tree-structured multi-linear principal component anal- ysis (TMPCA), is proposed in this work. Being different from trad…