On The Impact of Machine Learning Randomness on Group Fairness

9 July 2023

Papers citing "On The Impact of Machine Learning Randomness on Group Fairness"

24 / 24 papers shown

Title
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models Hao Zhou Guergana Savova Lijing Wang 36 0 0 10 Mar 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 54 2 0 28 Jan 2025
Towards Effective Discrimination Testing for Generative AI Thomas P. Zollo Nikita Rajaneesh Richard Zemel Talia B. Gillis Emily Black 30 1 0 31 Dec 2024
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML Prakhar Ganesh Usman Gohar Lu Cheng G. Farnadi FaML 36 1 0 17 Nov 2024
Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks Isha Gupta Hidde Lycklama Emanuel Opel Evan Rose Anwar Hithnawi AAML 22 0 0 11 Oct 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory Francesco Mori Stefano Sarao Mannelli Francesca Mignacco 23 3 0 26 Sep 2024
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers Manh Khoi Duong Stefan Conrad UD FaML 42 0 0 19 Sep 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities G. Farnadi Mohammad Havaei Negar Rostamzadeh 32 2 0 03 Jun 2024
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks Stefano Sarao Mannelli Yaraslau Ivashinka Andrew M. Saxe Luca Saglietti 27 2 0 03 Jun 2024
The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity Prakhar Ganesh Ihsan Ibrahim Daldaban Ignacio Cofone G. Farnadi 44 2 0 28 May 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training Anchit Jain Rozhin Nobahari A. Baratin Stefano Sarao Mannelli 32 4 0 28 May 2024
Large language models in 6G security: challenges and opportunities Tri Nguyen Huong Nguyen Ahmad Ijaz Saeid Sheikhi Athanasios V. Vasilakos Panos Kostakos ELM 22 7 0 18 Mar 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions Siddartha Devic Aleksandra Korolova David Kempe Vatsal Sharan 22 4 0 14 Feb 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 79 7 0 12 Feb 2024
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly Yifan Yao Jinhao Duan Kaidi Xu Yuanfang Cai Eric Sun Yue Zhang PILM ELM 24 468 0 04 Dec 2023
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification Prakhar Ganesh 34 5 0 24 Nov 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 21 3 0 17 Oct 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 88 10,947 0 18 Jul 2023
Arbitrariness Lies Beyond the Fairness-Accuracy Frontier Carol Xuan Long Hsiang Hsu Wael Alghamdi Flavio du Pin Calmon FaML 11 6 0 15 Jun 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 312 0 11 Sep 2022
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 90 0 19 Apr 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 63 337 0 25 Jan 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015