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1912.07726
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Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
16 December 2019
Kaiyu Yang
Klint Qinami
Li Fei-Fei
Jia Deng
Olga Russakovsky
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Papers citing
"Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy"
50 / 52 papers shown
Title
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Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation
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Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
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A Decade's Battle on Dataset Bias: Are We There Yet?
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Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images
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On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
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33
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31
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WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?
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Marios Constantinides
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10 May 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
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43
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06 Apr 2023
Segment Anything
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Eric Mintun
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Hanzi Mao
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Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
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MLLM
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87
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Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Felix Friedrich
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Dominik Hintersdorf
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The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data
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Addressing Bias in Face Detectors using Decentralised Data collection with incentives
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R. Blythman
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18
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Men Also Do Laundry: Multi-Attribute Bias Amplification
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Jerone T. A. Andrews
Alice Xiang
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45
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0
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Bugs in the Data: How ImageNet Misrepresents Biodiversity
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David Rolnick
21
43
0
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Is Medieval Distant Viewing Possible? : Extending and Enriching Annotation of Legacy Image Collections using Visual Analytics
C. Meinecke
Estelle Guéville
D. Wrisley
Stefan Jänicke
35
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0
20 Aug 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
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Seungbae Kim
Jungseock Joo
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0
22 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
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32
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Distilling Model Failures as Directions in Latent Space
Saachi Jain
Hannah Lawrence
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A. Madry
23
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What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics
David M. Chan
Austin Myers
Sudheendra Vijayanarasimhan
David A. Ross
Bryan Seybold
John F. Canny
28
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Quantifying Societal Bias Amplification in Image Captioning
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Yuta Nakashima
Noa Garcia
19
48
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Domain Generalization by Mutual-Information Regularization with Pre-trained Models
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Kyungjae Lee
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131
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Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
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19
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15 Mar 2022
Kubric: A scalable dataset generator
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Francois Belletti
Lucas Beyer
Carl Doersch
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Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
45
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07 Mar 2022
A study on the distribution of social biases in self-supervised learning visual models
Kirill Sirotkin
Pablo Carballeira
Marcos Escudero-Viñolo
22
18
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03 Mar 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
Multi-Modal Knowledge Graph Construction and Application: A Survey
Xiangru Zhu
Zhixu Li
Xiaodan Wang
Xueyao Jiang
Penglei Sun
Xuwu Wang
Yanghua Xiao
N. Yuan
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154
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11 Feb 2022
Turath-150K: Image Database of Arab Heritage
Dani Kiyasseh
Rasheed el-Bouri
24
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Human Imperceptible Attacks and Applications to Improve Fairness
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27
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PatchGame: Learning to Signal Mid-level Patches in Referential Games
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Gowthami Somepalli
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Vinoj Jayasundara
Matthias Zwicker
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25
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CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
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Michael K Kopp
Günter Klambauer
Angela Bitto-Nemling
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207
102
0
21 Oct 2021
PASS: An ImageNet replacement for self-supervised pretraining without humans
Yuki M. Asano
Christian Rupprecht
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57
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27 Sep 2021
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization
Zicheng Pan
Xiaohan Yu
Miaohua Zhang
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23
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Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding
Moritz Hardt
John Miller
Ludwig Schmidt
57
429
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10 Aug 2021
A Survey on Bias in Visual Datasets
Simone Fabbrizzi
Symeon Papadopoulos
Eirini Ntoutsi
Y. Kompatsiaris
132
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16 Jul 2021
Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao
Angelina Wang
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30
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0
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Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
ViT
265
625
0
21 May 2021
Can Active Learning Preemptively Mitigate Fairness Issues?
Frederic Branchaud-Charron
Parmida Atighehchian
Pau Rodríguez
Grace Abuhamad
Alexandre Lacoste
FaML
22
20
0
14 Apr 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning
Csaba Kertész
VLM
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28
45
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A Study of Face Obfuscation in ImageNet
Kaiyu Yang
Jacqueline Yau
Li Fei-Fei
Jia Deng
Olga Russakovsky
PICV
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32
144
0
10 Mar 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation
Ilias Leontiadis
Stefanos Laskaridis
Stylianos I. Venieris
Nicholas D. Lane
65
29
0
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Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
81
117
0
21 Jan 2021
Concept Generalization in Visual Representation Learning
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Yannis Kalantidis
Diane Larlus
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31
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Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
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156
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Gender Bias in Depression Detection Using Audio Features
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Mark D. Plumbley
31
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CrossTransformers: spatially-aware few-shot transfer
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215
330
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Active Learning under Label Shift
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Anqi Liu
Anima Anandkumar
Yisong Yue
21
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Risk of Training Diagnostic Algorithms on Data with Demographic Bias
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Ralf Raumanns
B. Michels
Gerard Schouten
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33
35
0
20 May 2020
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Seyma Yucer
S. Akçay
Noura Al-Moubayed
T. Breckon
14
61
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19 Apr 2020
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