107 citations · 248 across the 32 of their papers we have counts for
11 papers
Domain Generalization -- A Causal Perspective
Paras Sheth, Raha Moraffah, K. Selçuk Candan +2
Machine learning models rely on various assumptions to attain high accuracy. One of the preliminary assumptions of these models is the independent and identical distribution, which…
Debiasing Word Embeddings with Nonlinear Geometry
Lu Cheng, Nayoung Kim, Huan Liu
Debiasing word embeddings has been largely limited to individual and independent social categories. However, real-world corpora typically present multiple social categories that po…
Improving Vaccine Stance Detection by Combining Online and Offline Data
Anique Tahir, Lu Cheng, Paras Sheth +1
Differing opinions about COVID-19 have led to various online discourses regarding vaccines. Due to the detrimental effects and the scale of the COVID-19 pandemic, detecting vaccine…
Estimating Topic Exposure for Under-Represented Users on Social Media
Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth +1
Online Social Networks (OSNs) facilitate access to a variety of data allowing researchers to analyze users' behavior and develop user behavioral analysis models. These models rely…
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research
Bohan Jiang, Paras Sheth, Baoxin Li +1
Despite the astonishing success of COVID-19 vaccines against the virus, a substantial proportion of the population is still hesitant to be vaccinated, undermining governmental effo…
Graph Few-shot Class-incremental Learning
Zhen Tan, Kaize Ding, Ruocheng Guo +1
The ability to incrementally learn new classes is vital to all real-world artificial intelligence systems. A large portion of high-impact applications like social media, recommenda…