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A Systematic Study of Bias Amplification
27 January 2022
Melissa Hall
Laurens van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
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Papers citing
"A Systematic Study of Bias Amplification"
33 / 33 papers shown
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Bias Analysis in Unconditional Image Generative Models
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The Lock-in Hypothesis: Stagnation by Algorithm
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When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces
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When majority rules, minority loses: bias amplification of gradient descent
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Jérôme Bolte
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Jean-Michel Loubes
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526
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Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders
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Isaac Slaughter
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Lookism: The overlooked bias in computer vision
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301
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Mitigating Bias Using Model-Agnostic Data Attribution
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317
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Curvature-Aligned Federated Learning (CAFe): Harmonizing Loss Landscapes for Fairness Without Demographics
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260
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FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
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Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
582
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NLPositionality: Characterizing Design Biases of Datasets and Models
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407
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Richard A. Young
599
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Model-Agnostic Gender Debiased Image Captioning
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Yusuke Hirota
Yuta Nakashima
Noa Garcia
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435
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Bias mitigation techniques in image classification: fair machine learning in human heritage collections
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Dalia Ortiz Pablo
Sushruth Badri
Erik Norén
Christoph Nötzli
303
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Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers
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Bobbie Chern
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Denisse Ventura
Harshad Kulkarni
Candace Ross
Nicolas Usunier
303
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Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities
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Laura Gustafson
Aaron B. Adcock
Ishan Misra
Candace Ross
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272
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26 Jan 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
Nikzad Chizari
Niloufar Shoeibi
María N. Moreno-García
199
17
0
18 Jan 2023
Simplicity Bias Leads to Amplified Performance Disparities
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Samuel J. Bell
Levent Sagun
300
13
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13 Dec 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification
International Conference on Machine Learning (ICML), 2022
Dora Zhao
Jerone T. A. Andrews
Alice Xiang
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364
29
0
21 Oct 2022
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
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Sachin Kumar
Vidhisha Balachandran
Lucille Njoo
Antonios Anastasopoulos
Yulia Tsvetkov
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488
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Data Feedback Loops: Model-driven Amplification of Dataset Biases
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Rohan Taori
Tatsunori B. Hashimoto
442
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206
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