Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

26 November 2019

Papers citing "Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation"

23 / 73 papers shown

Title
A Causal Lens for Controllable Text Generation Zhiting Hu Erran L. Li 45 59 0 22 Jan 2022
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision A. Shrivastava Ramprasaath R. Selvaraju Nikhil Naik Vicente Ordonez VLM CLIP 30 6 0 14 Dec 2021
Anatomizing Bias in Facial Analysis Richa Singh P. Majumdar S. Mittal Mayank Vatsa CVBM 33 23 0 13 Dec 2021
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings Siqi Wang Manyuan Lu Nikita Moshkov Juan C. Caicedo Bryan A. Plummer 21 4 0 06 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector Johannes Gilg Torben Teepe Fabian Herzog Gerhard Rigoll ObjD 19 4 0 03 Dec 2021
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 36 19 0 26 Nov 2021
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 29 9 0 27 Oct 2021
Interpreting Face Inference Models using Hierarchical Network Dissection Divyang Teotia Àgata Lapedriza Sarah Ostadabbas CVBM 27 3 0 23 Aug 2021
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 32 81 0 19 Aug 2021
Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity Thomas A. Langlois H. C. Zhao Erin Grant Ishita Dasgupta Thomas L. Griffiths Nori Jacoby 47 15 0 14 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 Jul 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 40 106 0 07 Jun 2021
Fair Feature Distillation for Visual Recognition S. Jung Donggyu Lee Taeeon Park Taesup Moon 27 76 0 27 May 2021
Discover the Unknown Biased Attribute of an Image Classifier Zhiheng Li Chenliang Xu 25 50 0 29 Apr 2021
Responsible AI: Gender bias assessment in emotion recognition Artem Domnich G. Anbarjafari 24 48 0 21 Mar 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models Yucheng Lu Youngsuk Park Lifan Chen Bernie Wang Christopher De Sa Dean Phillips Foster AI4TS 38 17 0 02 Mar 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 26 124 0 02 Mar 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 25 22 0 12 Feb 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 41 123 0 15 Jan 2021
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 27 156 0 28 Oct 2020
Investigating Bias and Fairness in Facial Expression Recognition Tian Xu J. White Sinan Kalkan Hatice Gunes CVBM 29 158 0 20 Jul 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 38 120 0 26 Mar 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018