Data Feedback Loops: Model-driven Amplification of Dataset Biases

Data Feedback Loops: Model-driven Amplification of Dataset Biases

8 September 2022

Tatsunori B. Hashimoto

Papers citing "Data Feedback Loops: Model-driven Amplification of Dataset Biases"

12 / 12 papers shown

Title
Economics of Sourcing Human Data Sebastin Santy Prasanta Bhattacharya Manoel Horta Ribeiro Kelsey Allen Sewoong Oh 67 0 0 11 Feb 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 30 0 0 03 Jan 2025
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams Brandon Gower-Winter Georg Krempl Sergey Dragomiretskiy Tineke Jelsma Arno Siebes 75 0 0 13 Dec 2024
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World Joshua Kazdan Rylan Schaeffer Apratim Dey Matthias Gerstgrasser Rafael Rafailov D. Donoho Sanmi Koyejo 37 11 0 22 Oct 2024
A Systematic Study of Bias Amplification Melissa Hall L. V. D. van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 80 69 0 27 Jan 2022
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 142 34 0 12 Oct 2021
Outside the Echo Chamber: Optimizing the Performative Risk John Miller Juan C. Perdomo Tijana Zrnic 52 93 0 17 Feb 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent Zachary Izzo Lexing Ying James Y. Zou 58 72 0 15 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 261 1,386 0 14 Dec 2020
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 195 607 0 03 Sep 2019
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 161 281 0 30 Oct 2017