Samuel Dooley

Samuel Dooley

University of Maryland

H-index: 8

North America-United States

About Samuel Dooley

Samuel Dooley, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Maryland,

His recent articles reflect a diverse array of research interests and contributions to the field:

Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know

Multi-objective Differentiable Neural Architecture Search

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

Rethinking bias mitigation: Fairer architectures make for fairer face recognition

{​​ How} Library {IT} Staff Navigate Privacy and Security Challenges and Responsibilities

ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

Fairer and More Accurate Tabular Models Through NAS

To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination

Samuel Dooley Information

University

Position

___

Citations(all)

508

Citations(since 2020)

491

Cited By

104

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Top articles of Samuel Dooley

Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know

2024/3

Multi-objective Differentiable Neural Architecture Search

arXiv preprint arXiv:2402.18213

2024/2/28

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

arXiv preprint arXiv:2402.13228

2024/2/20

Arka Pal
Arka Pal

H-Index: 1

Samuel Dooley
Samuel Dooley

H-Index: 2

Rethinking bias mitigation: Fairer architectures make for fairer face recognition

Advances in Neural Information Processing Systems

2024/2/13

{​​ How} Library {IT} Staff Navigate Privacy and Security Challenges and Responsibilities

2023

ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

Thirty-seventh Conference on Neural Information Processing Systems

2023/11/3

Samuel Dooley
Samuel Dooley

H-Index: 2

Fairer and More Accurate Tabular Models Through NAS

arXiv preprint arXiv:2310.12145

2023/10/18

Samuel Dooley
Samuel Dooley

H-Index: 2

To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination

2023/10/13

Christine Herlihy
Christine Herlihy

H-Index: 2

Samuel Dooley
Samuel Dooley

H-Index: 2

Giraffe: Adventures in expanding context lengths in llms

arXiv preprint arXiv:2308.10882

2023/8/21

Arka Pal
Arka Pal

H-Index: 1

Samuel Dooley
Samuel Dooley

H-Index: 2

Expanding Robustness in Responsible AI for Novel Bias Mitigation

2023

Samuel Dooley
Samuel Dooley

H-Index: 2

Robustness disparities in face detection

Advances in Neural Information Processing Systems

2022/12/6

Samuel Dooley
Samuel Dooley

H-Index: 2

Tom Goldstein
Tom Goldstein

H-Index: 35

How Technology Impacts and Compares to Humans in Socially Consequential Arenas

arXiv preprint arXiv:2211.03554

2022/11/2

Samuel Dooley
Samuel Dooley

H-Index: 2

Field evidence of the effects of privacy, data transparency, and pro-social appeals on COVID-19 app attractiveness

2022/4/29

Samuel Dooley
Samuel Dooley

H-Index: 2

Topological data analysis for word sense disambiguation

arXiv preprint arXiv:2203.00565

2022/3/1

Samuel Dooley
Samuel Dooley

H-Index: 2

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

arXiv preprint arXiv:2202.11095

2022/2/22

Samuel Dooley
Samuel Dooley

H-Index: 2

Are commercial face detection models as biased as academic models?

arXiv preprint arXiv:2201.10047

2022/1/25

Samuel Dooley
Samuel Dooley

H-Index: 2

Tom Goldstein
Tom Goldstein

H-Index: 35

Preferencenet: Encoding human preferences in auction design with deep learning

Advances in Neural Information Processing Systems

2021/12/6

Ctrl-Shift: How privacy sentiment changed from 2019 to 2021

arXiv preprint arXiv:2110.09437

2021/10/18

Samuel Dooley
Samuel Dooley

H-Index: 2

Comparing human and machine bias in face recognition

arXiv preprint arXiv:2110.08396

2021/10/15

Fairness through robustness: Investigating robustness disparity in deep learning

2021/3/3

See List of Professors in Samuel Dooley University(University of Maryland)