Samuel Dooley | DeepAI

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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...

0 Arka Pal, et al. ∙

∙ 11/29/2022

Robustness Disparities in Face Detection

Facial analysis systems have been deployed by large companies and critiq...

0 Samuel Dooley, et al. ∙

∙ 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...

0 Samuel Dooley, et al. ∙

∙ 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...

0 Rhea Sukthanker, et al. ∙

∙ 03/15/2022

A Deep Dive into Dataset Imbalance and Bias in Face Identification

As the deployment of automated face recognition (FR) systems proliferate...

13 Valeriia Cherepanova, et al. ∙

∙ 03/01/2022

Topological Data Analysis for Word Sense Disambiguation

We develop and test a novel unsupervised algorithm for word sense induct...

2 Michael Rawson, et al. ∙

∙ 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...

1 Marina Knittel, et al. ∙

∙ 01/25/2022

Are Commercial Face Detection Models as Biased as Academic Models?

As facial recognition systems are deployed more widely, scholars and act...

6 Samuel Dooley, et al. ∙

∙ 10/18/2021

Ctrl-Shift: How Privacy Sentiment Changed from 2019 to 2021

People's privacy sentiments drive changes in legislation and may influen...

0 Angelica Goetzen, et al. ∙

∙ 10/15/2021

Comparing Human and Machine Bias in Face Recognition

Much recent research has uncovered and discussed serious concerns of bia...

17 Samuel Dooley, et al. ∙

∙ 08/27/2021

Robustness Disparities in Commercial Face Detection

Facial detection and analysis systems have been deployed by large compan...

9 Samuel Dooley, et al. ∙

∙ 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...

5 Neehar Peri, et al. ∙

∙ 10/13/2020

ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning

The design of revenue-maximizing auctions with strong incentive guarante...

4 Kevin Kuo, et al. ∙

∙ 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...

4 Samuel Dooley, et al. ∙

∙ 06/17/2020

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning

Deep neural networks are being increasingly used in real world applicati...

0 Vedant Nanda, et al. ∙

∙ 01/07/2020

Can an Algorithm be My Healthcare Proxy?

Planning for death is not a process in which everyone participates. Yet ...

0 Duncan C. McElfresh, et al. ∙

∙ 08/07/2018

Overhead Detection: Beyond 8-bits and RGB

This study uses the challenging and publicly available SpaceNet dataset ...

0 Eliza Mace, et al. ∙

∙ 02/22/2018

xView: Objects in Context in Overhead Imagery

We introduce a new large-scale dataset for the advancement of object det...

0 Darius Lam, et al. ∙

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