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Metric-Free Individual Fairness with Cooperative Contextual Bandits

Nov 13, 2020
Qian Hu, Huzefa Rangwala


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FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data

Oct 12, 2020
Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala


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Learning Smooth and Fair Representations

Jun 15, 2020
Xavier Gitiaux, Huzefa Rangwala


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Common-Knowledge Concept Recognition for SEVA

Mar 26, 2020
Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala

* Source code available 

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Generative Multi-Stream Architecture For American Sign Language Recognition

Mar 09, 2020
Dom Huh, Sai Gurrapu, Frederick Olson, Huzefa Rangwala, Parth Pathak, Jana Kosecka


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FineHand: Learning Hand Shapes for American Sign Language Recognition

Mar 04, 2020
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala, Jana Kosecka


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Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services

Mar 04, 2020
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala

* 8 pages, 2 Figures, 7 Tables, Source Code Available 

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Diversity-Based Generalization for Neural Unsupervised Text Classification under Domain Shift

Feb 25, 2020
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala

* 15 pages, 3 figures, Source Code Available 

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Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction

Dec 29, 2019
Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning

* 17 pages, 22 figures, 5 tables 

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Academic Performance Estimation with Attention-based Graph Convolutional Networks

Dec 26, 2019
Qian Hu, Huzefa Rangwala


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Low Rank Factorization for Compact Multi-Head Self-Attention

Nov 26, 2019
Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan

* 9 pages, 5 figures 

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Asynchronous Online Federated Learning for Edge Devices

Nov 05, 2019
Yujing Chen, Yue Ning, Huzefa Rangwala

* 9 pages, under review of SDM 2020 

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Sign Language Recognition Analysis using Multimodal Data

Sep 24, 2019
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Jana Kosecka, Huzefa Rangwala

* conference : IEEE DSAA, 2019, Washington DC 

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Federated Multi-task Hierarchical Attention Model for Sensor Analytics

May 13, 2019
Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala


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Multi-Differential Fairness Auditor for Black Box Classifiers

Mar 18, 2019
Xavier Gitiaux, Huzefa Rangwala


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Reliable Deep Grade Prediction with Uncertainty Estimation

Feb 26, 2019
Qian Hu, Huzefa Rangwala


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ALE: Additive Latent Effect Models for Grade Prediction

Jan 17, 2018
Zhiyun Ren, Xia Ning, Huzefa Rangwala

* 9 pages, 3 figures 

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Grade Prediction with Temporal Course-wise Influence

Sep 15, 2017
Zhiyun Ren, Xia Ning, Huzefa Rangwala

* 8 pages, 5 figures 

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Classifying Documents within Multiple Hierarchical Datasets using Multi-Task Learning

Jun 06, 2017
Azad Naik, Anveshi Charuvaka, Huzefa Rangwala

* IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2013 

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Embedding Feature Selection for Large-scale Hierarchical Classification

Jun 06, 2017
Azad Naik, Huzefa Rangwala

* IEEE International Conference on Big Data (IEEE BigData 2016) 

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Inconsistent Node Flattening for Improving Top-down Hierarchical Classification

Jun 05, 2017
Azad Naik, Huzefa Rangwala

* IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016 

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Filter based Taxonomy Modification for Improving Hierarchical Classification

Oct 15, 2016
Azad Naik, Huzefa Rangwala

* The conference version of the paper is submitted for publication 

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Predicting Performance on MOOC Assessments using Multi-Regression Models

May 08, 2016
Zhiyun Ren, Huzefa Rangwala, Aditya Johri

* 8 pages, 7 figures 

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