Samuel Dooley

According to our database, Samuel Dooley authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-objective Differentiable Neural Architecture Search.

Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter

CoRR, 2024

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive.

Arka Pal, Deep Karkhanis, Samuel Dooley, Manley Roberts, Siddartha Naidu, Colin White

CoRR, 2024

2023

Fairer and More Accurate Tabular Models Through NAS.

Richeek Das, Samuel Dooley

CoRR, 2023

Data Contamination Through the Lens of Time.

Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley

CoRR, 2023

Giraffe: Adventures in Expanding Context Lengths in LLMs.

Arka Pal, Deep Karkhanis, Manley Roberts, Samuel Dooley, Arvind Sundararajan, Siddartha Naidu

CoRR, 2023

How Library IT Staff Navigate Privacy and Security Challenges and Responsibilities.

Alan F. Luo, Noel Warford, Samuel Dooley, Rachel Greenstadt, Michelle L. Mazurek, Nora McDonald

Proceedings of the 32nd USENIX Security Symposium, 2023

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition.

Samuel Dooley, Rhea Sukthanker, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ForecastPFN: Synthetically-Trained Zero-Shot Forecasting.

Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha V. Naidu, Colin White

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Deep Dive into Dataset Imbalance and Bias in Face Identification.

Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

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

Angelica Goetzen, Samuel Dooley, Elissa M. Redmiles

Proc. Priv. Enhancing Technol., 2022

How Technology Impacts and Compares to Humans in Socially Consequential Arenas.

Samuel Dooley

CoRR, 2022

On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition.

Rhea Sukthanker, Samuel Dooley, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum

CoRR, 2022

A Deep Dive into Dataset Imbalance and Bias in Face Identification.

Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, Micah Goldblum, Tom Goldstein

CoRR, 2022

Topological Data Analysis for Word Sense Disambiguation.

Michael Rawson, Samuel Dooley, Mithun Bharadwaj, Rishabh Choudhary

CoRR, 2022

Robustness Disparities in Face Detection.

Samuel Dooley, George Z. Wei, Tom Goldstein, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations.

Marina Knittel, Samuel Dooley, John P. Dickerson

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Field Evidence of the Effects of Privacy, Data Transparency, and Pro-social Appeals on COVID-19 App Attractiveness.

Samuel Dooley, Dana Turjeman, John P. Dickerson, Elissa M. Redmiles

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Comparing Human and Machine Bias in Face Recognition.

Samuel Dooley, Ryan Downing, George Z. Wei, Nathan Shankar, Bradon Thymes, Gudrun Thorkelsdottir, Tiye Kurtz-Miott, Rachel Mattson, Olufemi Obiwumi, Valeriia Cherepanova, Micah Goldblum, John P. Dickerson, Tom Goldstein

CoRR, 2021

Robustness Disparities in Commercial Face Detection.

Samuel Dooley, Tom Goldstein, John P. Dickerson

CoRR, 2021

PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning.

Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning.

Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

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

Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-yeh Chiang, Tom Goldstein, John P. Dickerson

CoRR, 2020

The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers.

Samuel Dooley, John P. Dickerson

CoRR, 2020

Can an Algorithm be My Healthcare Proxy?

Duncan C. McElfresh, Samuel Dooley, Yuan Cui, Kendra Griesman, Weiqin Wang, Tyler Will, Neil Sehgal, John P. Dickerson

CoRR, 2020

2018

Overhead Detection: Beyond 8-bits and RGB.

Eliza Mace, Keith Manville, Monica Barbu-McInnis, Michael Laielli, Matthew Klaric, Samuel Dooley

CoRR, 2018

xView: Objects in Context in Overhead Imagery.

Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew Klaric, Yaroslav Bulatov, Brendan McCord

CoRR, 2018