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08/21/2023
Giraffe: Adventures in Expanding Context Lengths in LLMs
Modern large language models (LLMs) that rely on attention mechanisms ar...
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11/29/2022
Robustness Disparities in Face Detection
Facial analysis systems have been deployed by large companies and critiq...
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11/02/2022
How Technology Impacts and Compares to Humans in Socially Consequential Arenas
One of the main promises of technology development is for it to be adopt...
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10/18/2022
On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition
Face recognition systems are deployed across the world by government age...
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03/15/2022
A Deep Dive into Dataset Imbalance and Bias in Face Identification
As the deployment of automated face recognition (FR) systems proliferate...
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03/01/2022
Topological Data Analysis for Word Sense Disambiguation
We develop and test a novel unsupervised algorithm for word sense induct...
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02/22/2022
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations
While the stable marriage problem and its variants model a vast range of...
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01/25/2022
Are Commercial Face Detection Models as Biased as Academic Models?
As facial recognition systems are deployed more widely, scholars and act...
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10/18/2021
Ctrl-Shift: How Privacy Sentiment Changed from 2019 to 2021
People's privacy sentiments drive changes in legislation and may influen...
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10/15/2021
Comparing Human and Machine Bias in Face Recognition
Much recent research has uncovered and discussed serious concerns of bia...
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08/27/2021
Robustness Disparities in Commercial Face Detection
Facial detection and analysis systems have been deployed by large compan...
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06/06/2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
The design of optimal auctions is a problem of interest in economics, ga...
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10/13/2020
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
The design of revenue-maximizing auctions with strong incentive guarante...
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09/24/2020
The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers
In many labor markets, workers and firms are connected via affiliative r...
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06/17/2020
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning
Deep neural networks are being increasingly used in real world applicati...
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01/07/2020
Can an Algorithm be My Healthcare Proxy?
Planning for death is not a process in which everyone participates. Yet ...
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08/07/2018
Overhead Detection: Beyond 8-bits and RGB
This study uses the challenging and publicly available SpaceNet dataset ...
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02/22/2018