51 citations · 220 across the 70 of their papers we have counts for
8 papers · 1 filter
Metric-Free Individual Fairness with Cooperative Contextual Bandits
Qian Hu, Huzefa Rangwala
Data mining algorithms are increasingly used in automated decision making across all walks of daily life. Unfortunately, as reported in several studies these algorithms inject bias…
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai, Yujing Chen, Ali Anwar +3
Federated learning (FL) involves training a model over massive distributed devices, while keeping the training data localized. This form of collaborative learning exposes new trade…
Learning Smooth and Fair Representations
Xavier Gitiaux, Huzefa Rangwala
Organizations that own data face increasing legal liability for its discriminatory use against protected demographic groups, extending to contractual transactions involving third p…
Common-Knowledge Concept Recognition for SEVA
Jitin Krishnan, Patrick Coronado, Hemant Purohit +1
We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as relation extraction, knowled…
Generative Multi-Stream Architecture For American Sign Language Recognition
Dom Huh, Sai Gurrapu, Frederick Olson +3
With advancements in deep model architectures, tasks in computer vision can reach optimal convergence provided proper data preprocessing and model parameter initialization. However…
FineHand: Learning Hand Shapes for American Sign Language Recognition
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak +2
American Sign Language recognition is a difficult gesture recognition problem, characterized by fast, highly articulate gestures. These are comprised of arm movements with differen…
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
During the onset of a disaster event, filtering relevant information from the social web data is challenging due to its sparse availability and practical limitations in labeling da…
Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
Domain adaptation approaches seek to learn from a source domain and generalize it to an unseen target domain. At present, the state-of-the-art unsupervised domain adaptation approa…