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A biased dataset is a dataset that generally has attributes with an uneven class distribution.
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Nitesh Chawla, Kevin Bowyer, Lawrence Hall, and W. Kegelmeyer · 2002
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Regularized multi–task learning
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Dataset Issues in Object Recognition
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Jun Yang, Rong Yan, and Alexander G. Hauptmann · 2007
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Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Gary Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller · 2008
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Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Lixin Duan, Ivor W. Tsang, Dong Xu, and Stephen J. Maybank · 2009
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Davis E. King · 2009
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Attribute and simile classifiers for face verification
Neeraj Kumar, Alexander Berg, Peter Belhumeur, and Shree Nayar · 2009
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Dataset shift in machine learning
Joaquin Quionero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil Lawrence · 2009
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Multiple one-shots for utilizing class label information
Yaniv Taigman, Lior Wolf, and Tal Hassner · 2009
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Representation of Women in Randomized Clinical Trials of Cardiovascular Disease Prevention
Chiara Melloni, Jeffrey S Berger, Tracy Y Wang, Funda Gunes, Amanda Stebbins, Karen S Pieper, Rowena J Dolor, Pamela S Douglas, Daniel B Mark, and L Kristin Newby · 2010
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Adapting visual category models to new domains
Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell · 2010
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High-performance neural networks for visual object classification, 2011
Dan C. Cireşan, Ueli Meier, Jonathan Masci, Luca M. Gambardella, and Jürgen Schmidhuber · 2011
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Domain adaptation for object recognition: An unsupervised approach
Raghuraman Gopalan, Ruonan Li, and Rama Chellappa · 2011
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Kullback-Leibler Divergence
James M. Joyce · 2011
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What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
Brian Kulis, Kate Saenko, and Trevor Darrell · 2011
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Unbiased look at dataset bias
Antonio Torralba and Alexei A. Efros · 2011
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Undoing the damage of dataset bias
Aditya Khosla, Tinghui Zhou, Tomasz Malisiewicz, Alexei Efros, and Antonio Torralba · 2012
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Efficient estimation of word representations in vector space, 2013
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Discrimination in online ad delivery
Latanya Sweeney · 2013
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Beyond dataset bias: Multi-task unaligned shared knowledge transfer
Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, and Christoph Lampert · 2013
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Generative adversarial networks, 2014
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Deep residual learning for image recognition, 2015
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Generative adversarial networks for noise reduction in low-dose ct
Jelmer Wolterink, Tim Leiner, Max Viergever, and Ivana Isgum · 2017
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Variational autoencoder for semi-supervised text classification
Weidi Xu, Haoze Sun, Chao Deng, and Ying Tan · 2017
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Age progression/regression by conditional adversarial autoencoder, 2017
Zhifei Zhang, Yang Song, and Hairong Qi · 2017
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Fusion of domain-specific and trainable features for gender recognition from face images
G. Azzopardi, A. Greco, A. Saggese, and M. Vento · 2018
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru · 2018
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Stargan: Unified generative adversarial networks for multi-domain image-to-image translation, 2018
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Cited alongside, same era.
Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Cited alongside, same era.
Deep face recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
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Dex: Deep expectation of apparent age from a single image[c]
R. Rothe, Radu Timofte, and Luc Van Gool · 2015
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Very deep convolutional networks for large-scale image recognition, 2015
Karen Simonyan and Andrew Zisserman · 2015
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Rethinking the inception architecture for computer vision, 2015
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna · 2015
Cited alongside, same era.
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai · 2016
Cited alongside, same era.
A comprehensive survey on pose-invariant face recognition
Changxing Ding and Dacheng Tao · 2016
Cited alongside, same era.
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo · 2018
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Amazon scraps secret ai recruiting tool that showed bias against women, Oct 2018
Jeffrey Dastin · 2018
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Variational autoencoders., Jul 2018
Jeremy Jordan · 2018
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Anomaly detection for skin disease images using variational autoencoder, 2018
Yuchen Lu and Peng Xu · 2018
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Learning sparse representation with variational auto-encoder for anomaly detection
J. Sun, X. Wang, N. Xiong, and J. Shao · 2018
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Context-encoding variational autoencoder for unsupervised anomaly detection, 2018
David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, and Klaus H. Maier-Hein · 2018
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Age and gender bias in pedestrian detection algorithms, 2019
Martim Brandao · 2019
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Mvae: Multimodal variational autoencoder for fake news detection
Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, and Vasudeva Varma · 2019
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An introduction to variational autoencoders
Diederik P. Kingma and Max Welling · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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A survey on Image Data Augmentation for Deep Learning
Connor Shorten and Taghi M Khoshgoftaar · 2019
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Generative adversarial network in medical imaging: A review
Xin Yi, Ekta Walia, and Paul Babyn · 2019
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Gmm-based undersampling and its application for credit card fraud detection
F. Zhang, G. Liu, Z. Li, C. Yan, and C. Jiang · 2019
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Age from faces in the deep learning revolution
Vincenzo Carletti, Antonio Greco, Gennaro Percannella, and Mario Vento · 2020
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Stargan - official pytorch implementation
Y. Choi · 2020
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Benchmarking deep network architectures for ethnicity recognition using a new large face dataset
Antonio Greco, Gennaro Percannella, Mario Vento, and Vincenzo Vigilante · 2020
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Face gender classification based on convolutional neural networks
Z. Jiang · 2020
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Deep facial expression recognition: A survey
Shan Li and Weihong Deng · 2020
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Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets
Pattaramon Vuttipittayamongkol and Eyad Elyan · 2020
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Unpaired image-to-image translation using cycle-consistent adversarial networks, 2020
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros · 2020
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Tutorial on variational autoencoders, 2021
Carl Doersch · 2021
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Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Kimmo Karkkainen and Jungseock Joo · 2021
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