Samuel Dooley - RankMe

42 papers A* 12C 1Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	LiveBench: A Challenging, Contamination-Limited LLM Benchmark. ICLR Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
2025	A*	`conf`	Multi-objective Differentiable Neural Architecture Search. ICLR Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter
2025	A*	`conf`	Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking. ICLR Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P. Dickerson
2025	J	`jnl`	Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes. CoRR Mayuka Jayawardhana, Renbo Tu, Samuel Dooley, Valeriia Cherepanova, Andrew Gordon Wilson, Frank Hutter, Colin White, Tom Goldstein, Micah Goldblum
2024	A*	`conf`	Large Language Models Must Be Taught to Know What They Don't Know. NeurIPS Sanyam Kapoor, Nate Gruver, Manley Roberts, Katie Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
2024	J	`jnl`	Large Language Models Must Be Taught to Know What They Don't Know. CoRR Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine M. Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
2024	J	`jnl`	LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
2024	J	`jnl`	Multi-objective Differentiable Neural Architecture Search. CoRR Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter
2024	J	`jnl`	Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive. CoRR Arka Pal, Deep Karkhanis, Samuel Dooley, Manley Roberts, Siddartha Naidu, Colin White
2024	J	`jnl`	Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking. CoRR Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P. Dickerson
2024	A*	`conf`	To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination. ICLR Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
2023	C	`conf`	A Deep Dive into Dataset Imbalance and Bias in Face Identification. AIES Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein
2023	J	`jnl`	Data Contamination Through the Lens of Time. CoRR Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
2023	—	`—`	Expanding Robustness in Responsible AI for Novel Bias Mitigation. Samuel Dooley
2023	J	`jnl`	Fairer and More Accurate Tabular Models Through NAS. CoRR Richeek Das, Samuel Dooley
2023	A*	`conf`	ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. NeurIPS Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha V. Naidu, Colin White
2023	J	`jnl`	ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. CoRR Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha Naidu, Colin White
2023	J	`jnl`	Giraffe: Adventures in Expanding Context Lengths in LLMs. CoRR Arka Pal, Deep Karkhanis, Manley Roberts, Samuel Dooley, Arvind Sundararajan, Siddartha Naidu
2023	A*	`conf`	How Library IT Staff Navigate Privacy and Security Challenges and Responsibilities. USENIX Security Symposium Alan F. Luo, Noel Warford, Samuel Dooley, Rachel Greenstadt, Michelle L. Mazurek, Nora McDonald
2023	A*	`conf`	Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition. NeurIPS Samuel Dooley, Rhea Sanjay Sukthanker, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
2022	J	`jnl`	A Deep Dive into Dataset Imbalance and Bias in Face Identification. CoRR Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Ctrl-Shift: How Privacy Sentiment Changed from 2019 to 2021. Proc. Priv. Enhancing Technol. Angelica Goetzen, Samuel Dooley, Elissa M. Redmiles
2022	A*	`conf`	Field Evidence of the Effects of Privacy, Data Transparency, and Pro-social Appeals on COVID-19 App Attractiveness. CHI Samuel Dooley, Dana Turjeman, John P. Dickerson, Elissa M. Redmiles
2022	J	`jnl`	How Technology Impacts and Compares to Humans in Socially Consequential Arenas. CoRR Samuel Dooley
2022	J	`jnl`	On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition. CoRR Rhea Sanjay Sukthanker, Samuel Dooley, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
2022	A*	`conf`	Robustness Disparities in Face Detection. NeurIPS Samuel Dooley, George Z. Wei, Tom Goldstein, John Dickerson
2022	J	`jnl`	Robustness Disparities in Face Detection. CoRR Samuel Dooley, George Z. Wei, Tom Goldstein, John P. Dickerson
2022	A*	`conf`	The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. IJCAI Marina Knittel, Samuel Dooley, John P. Dickerson
2022	J	`jnl`	The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. CoRR Marina Knittel, Samuel Dooley, John P. Dickerson
2022	J	`jnl`	Topological Data Analysis for Word Sense Disambiguation. CoRR Michael Rawson, Samuel Dooley, Mithun Bharadwaj, Rishabh Choudhary
2021	J	`jnl`	Comparing Human and Machine Bias in Face Recognition. CoRR 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
2021	J	`jnl`	Ctrl-Shift: How Privacy Sentiment Changed from 2019 to 2021. CoRR Angelica Goetzen, Samuel Dooley, Elissa M. Redmiles
2021	—	`conf`	Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. FAccT Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2021	A*	`conf`	PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. NeurIPS Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson
2021	J	`jnl`	PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. CoRR Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson
2021	J	`jnl`	Robustness Disparities in Commercial Face Detection. CoRR Samuel Dooley, Tom Goldstein, John P. Dickerson
2020	J	`jnl`	Can an Algorithm be My Healthcare Proxy? CoRR Duncan C. McElfresh, Samuel Dooley, Yuan Cui, Kendra Griesman, Weiqin Wang, Tyler Will, Neil Sehgal, John P. Dickerson
2020	J	`jnl`	Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. CoRR Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2020	J	`jnl`	ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning. CoRR Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-Yeh Chiang, Tom Goldstein, John P. Dickerson
2020	J	`jnl`	The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers. CoRR Samuel Dooley, John P. Dickerson
2018	J	`jnl`	Overhead Detection: Beyond 8-bits and RGB. CoRR Eliza Mace, Keith Manville, Monica Barbu-McInnis, Michael Laielli, Matthew Klaric, Samuel Dooley
2018	J	`jnl`	xView: Objects in Context in Overhead Imagery. CoRR Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew Klaric, Yaroslav Bulatov, Brendan McCord