Predictive Inequity in Object Detection

21 February 2019

Papers citing "Predictive Inequity in Object Detection"

46 / 96 papers shown

Title
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning Hugo Elias Berg S. Hall Yash Bhalgat Wonsuk Yang Hannah Rose Kirk Aleksandar Shtedritski Max Bain VLM 25 99 0 22 Mar 2022
Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals Thilo Hagendorff L. Bossert Yip Fai Tse P. Singer FaML 22 40 0 22 Feb 2022
Symphony: Composing Interactive Interfaces for Machine Learning Alex Bäuerle Ángel Alexander Cabrera Fred Hohman Megan Maher Welsh David Koski Xavier Suau Titus Barik Dominik Moritz 24 55 0 18 Feb 2022
Mapping DNN Embedding Manifolds for Network Generalization Prediction Molly O'Brien Julia V. Bukowski Mathias Unberath Aria Pezeshk Gregory Hager AI4CE 25 0 0 03 Feb 2022
Geometric instability of out of distribution data across autoencoder architecture S. Agarwala Ben Dees Corey Lowman DRL 24 0 0 28 Jan 2022
Feminist Perspective on Robot Learning Processes Juana Valeria Hurtado Valentina Mejia FaML 19 3 0 26 Jan 2022
Visual Identification of Problematic Bias in Large Label Spaces Alex Bauerle Aybuke Turker Ken Burke Osman Aka Timo Ropinski Christina Greer Mani Varadarajan 23 1 0 17 Jan 2022
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 27 3 0 30 Nov 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
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models Arvindkumar Krishnakumar Tong He Shengji Tang Judy Hoffman 21 30 0 29 Oct 2021
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias Sharat Agarwal Sumanyu Muku Saket Anand Chetan Arora 14 11 0 20 Oct 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 132 121 0 16 Jul 2021
Reliability and Validity of Image-Based and Self-Reported Skin Phenotype Metrics John J. Howard Yevgeniy B. Sirotin Jerry L. Tipton A. Vemury 25 27 0 18 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 30 134 0 16 Jun 2021
Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI Kiana Alikhademi Brianna Richardson E. Drobina J. Gilbert 30 33 0 14 Jun 2021
A Step Toward More Inclusive People Annotations for Fairness Candice Schumann Susanna Ricco Utsav Prabhu V. Ferrari C. Pantofaru 28 63 0 05 May 2021
Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS) Le-Anh Tran Truong-Dong Do Dong-Chul Park M. Le 14 3 0 04 May 2021
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems Sophia J. Abraham Zachariah Carmichael Sreya Banerjee Rosaura G. VidalMata Ankit Agrawal M. N. A. Islam Walter J. Scheirer J. Cleland-Huang 34 19 0 28 Mar 2021
Measuring Model Biases in the Absence of Ground Truth Osman Aka Ken Burke Alex Bauerle Christina Greer Margaret Mitchell 23 34 0 05 Mar 2021
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization Javier Hernández Daniel J. McDuff Ognjen Ognjen Rudovic Alberto Fung Mary Czerwinski CVBM 47 5 0 03 Mar 2021
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation Juana Valeria Hurtado Laura Londoño Abhinav Valada 25 28 0 07 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 489 0 31 Dec 2020
BENN: Bias Estimation Using Deep Neural Network Amit Giloni Edita Grolman Tanja Hagemann Ronald Fromm Sebastian Fischer Yuval Elovici A. Shabtai 19 2 0 23 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 89 1,377 0 14 Dec 2020
Data and its (dis)contents: A survey of dataset development and use in machine learning research Amandalynne Paullada Inioluwa Deborah Raji Emily M. Bender Emily L. Denton A. Hanna 57 510 0 09 Dec 2020
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation Sunhee Hwang Sungho Park D. Kim Mirae Do H. Byun CVBM 38 32 0 01 Dec 2020
Does enforcing fairness mitigate biases caused by subpopulation shift? Subha Maity Debarghya Mukherjee Mikhail Yurochkin Yuekai Sun 10 23 0 06 Nov 2020
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 27 156 0 28 Oct 2020
Understanding bias in facial recognition technologies David Leslie 52 52 0 05 Oct 2020
Large image datasets: A pyrrhic win for computer vision? Vinay Uday Prabhu Abeba Birhane 19 358 0 24 Jun 2020
Intra-Processing Methods for Debiasing Neural Networks Yash Savani Colin White G. NaveenSundar 16 43 0 15 Jun 2020
Fair Influence Maximization: A Welfare Optimization Approach Aida Rahmattalabi S. Jabbari Himabindu Lakkaraju P. Vayanos Max Izenberg Ryan Brown Eric Rice Milind Tambe 23 47 0 14 Jun 2020
Black-box Explanation of Object Detectors via Saliency Maps Vitali Petsiuk R. Jain Varun Manjunatha Vlad I. Morariu Ashutosh Mehra Vicente Ordonez Kate Saenko FAtt 22 122 0 05 Jun 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim Dora Zhao Iroha Shirai Arvind Narayanan Olga Russakovsky 25 186 0 16 Apr 2020
A Set of Distinct Facial Traits Learned by Machines Is Not Predictive of Appearance Bias in the Wild Ryan Steed Aylin Caliskan CVBM 11 2 0 13 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 30 51 0 06 Feb 2020
FairyTED: A Fair Rating Predictor for TED Talk Data Rupam Acharyya Shouman Das Ankani Chattoraj Md. Iftekhar Tanveer 19 12 0 25 Nov 2019
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets N. M. Kinyanjui Timothy Odonga C. Cintas Noel Codella Yikang Shen P. Sattigeri Kush R. Varshney 12 46 0 29 Oct 2019
Age and gender bias in pedestrian detection algorithms Martim Brandao 6 46 0 25 Jun 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 16 130 0 14 Jun 2019
Characterizing Bias in Classifiers using Generative Models Daniel J. McDuff Shuang Ma Yale Song Ashish Kapoor 31 47 0 30 May 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 21 187 0 29 May 2019
Making ethical decisions for the immersive web D. Hosfelt 11 9 0 14 May 2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau FaML 14 183 0 10 Apr 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations Tianlu Wang Jieyu Zhao Mark Yatskar Kai-Wei Chang Vicente Ordonez FaML 23 17 0 20 Nov 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016