Huzefa Rangwala

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George Mason University

Metric-Free Individual Fairness with Cooperative Contextual Bandits

Data mining algorithms are increasingly used in automated decision makin...
11/13/2020 ∙ by Qian Hu, et al. ∙ 0 ∙ share

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

Federated learning (FL) involves training a model over massive distribut...
10/12/2020 ∙ by Zheng Chai, et al. ∙ 8 ∙ share

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Learning Smooth and Fair Representations

Organizations that own data face increasing legal liability for its disc...
06/15/2020 ∙ by Xavier Gitiaux, et al. ∙ 0 ∙ share

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Common-Knowledge Concept Recognition for SEVA

We build a common-knowledge concept recognition system for a Systems Eng...
03/26/2020 ∙ by Jitin Krishnan, et al. ∙ 5 ∙ share

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FineHand: Learning Hand Shapes for American Sign Language Recognition

American Sign Language recognition is a difficult gesture recognition pr...
03/04/2020 ∙ by Al Amin Hosain, et al. ∙ 0 ∙ share

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

During the onset of a disaster event, filtering relevant information fro...
03/04/2020 ∙ by Jitin Krishnan, et al. ∙ 11 ∙ share

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

Domain adaptation approaches seek to learn from a source domain and gene...
02/25/2020 ∙ by Jitin Krishnan, et al. ∙ 5 ∙ share

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Academic Performance Estimation with Attention-based Graph Convolutional Networks

Student's academic performance prediction empowers educational technolog...
12/26/2019 ∙ by Qian Hu, et al. ∙ 0 ∙ share

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

Forecasting influenza-like illness (ILI) is of prime importance to epide...
12/21/2019 ∙ by Songgaojun Deng, et al. ∙ 13 ∙ share

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Low Rank Factorization for Compact Multi-Head Self-Attention

Effective representation learning from text has been an active area of r...
11/26/2019 ∙ by Sneha Mehta, et al. ∙ 0 ∙ share

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Asynchronous Online Federated Learning for Edge Devices

Federated learning (FL) is a machine learning paradigm where a shared ce...
11/05/2019 ∙ by Yujing Chen, et al. ∙ 0 ∙ share

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Sign Language Recognition Analysis using Multimodal Data

Voice-controlled personal and home assistants (such as the Amazon Echo a...
09/24/2019 ∙ by Al Amin Hosain, et al. ∙ 29 ∙ share

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Federated Multi-task Hierarchical Attention Model for Sensor Analytics

Sensors are an integral part of modern Internet of Things (IoT) applicat...
05/13/2019 ∙ by Yujing Chen, et al. ∙ 0 ∙ share

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Multi-Differential Fairness Auditor for Black Box Classifiers

Machine learning algorithms are increasingly involved in sensitive decis...
03/18/2019 ∙ by Xavier Gitiaux, et al. ∙ 0 ∙ share

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Reliable Deep Grade Prediction with Uncertainty Estimation

Currently, college-going students are taking longer to graduate than the...
02/26/2019 ∙ by Qian Hu, et al. ∙ 0 ∙ share

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ALE: Additive Latent Effect Models for Grade Prediction

The past decade has seen a growth in the development and deployment of e...
01/17/2018 ∙ by Zhiyun Ren, et al. ∙ 0 ∙ share

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Classifying Documents within Multiple Hierarchical Datasets using Multi-Task Learning

Multi-task learning (MTL) is a supervised learning paradigm in which the...
06/06/2017 ∙ by Azad Naik, et al. ∙ 0 ∙ share

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Embedding Feature Selection for Large-scale Hierarchical Classification

Large-scale Hierarchical Classification (HC) involves datasets consistin...
06/06/2017 ∙ by Azad Naik, et al. ∙ 0 ∙ share

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Inconsistent Node Flattening for Improving Top-down Hierarchical Classification

Large-scale classification of data where classes are structurally organi...
06/05/2017 ∙ by Azad Naik, et al. ∙ 0 ∙ share

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Filter based Taxonomy Modification for Improving Hierarchical Classification

Hierarchical Classification (HC) is a supervised learning problem where ...
03/02/2016 ∙ by Azad Naik, et al. ∙ 0 ∙ share

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Huzefa Rangwala

Featured Co-authors

Liang Zhao

Naren Ramakrishnan

Jana Kosecka

Shusen Wang

Xia Ning

Hemant Purohit

Yue Cheng

Zheng Chai

Zhiyun Ren

Yujing Chen

Yue Ning

Metric-Free Individual Fairness with Cooperative Contextual Bandits

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

Learning Smooth and Fair Representations

Common-Knowledge Concept Recognition for SEVA

FineHand: Learning Hand Shapes for American Sign Language Recognition

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

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

Academic Performance Estimation with Attention-based Graph Convolutional Networks

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

Low Rank Factorization for Compact Multi-Head Self-Attention

Asynchronous Online Federated Learning for Edge Devices

Sign Language Recognition Analysis using Multimodal Data

Federated Multi-task Hierarchical Attention Model for Sensor Analytics

Multi-Differential Fairness Auditor for Black Box Classifiers

Reliable Deep Grade Prediction with Uncertainty Estimation

ALE: Additive Latent Effect Models for Grade Prediction

Classifying Documents within Multiple Hierarchical Datasets using Multi-Task Learning

Embedding Feature Selection for Large-scale Hierarchical Classification

Inconsistent Node Flattening for Improving Top-down Hierarchical Classification

Filter based Taxonomy Modification for Improving Hierarchical Classification