Does Object Recognition Work for Everyone?

6 June 2019

Terrance Devries

Ishan Misra

Changhan Wang

L. V. D. van der Maaten

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Papers citing "Does Object Recognition Work for Everyone?"

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Domain Generalization by Mutual-Information Regularization with Pre-trained Models Junbum Cha Kyungjae Lee Sungrae Park Sanghyuk Chun OOD 26 131 0 21 Mar 2022
Towards Responsible Natural Language Annotation for the Varieties of Arabic A. S. Bergman Mona T. Diab 14 18 0 17 Mar 2022
Visual Ground Truth Construction as Faceted Classification Fausto Giunchiglia Mayukh Bagchi Xiaolei Diao 13 5 0 17 Feb 2022
Gradient Based Activations for Accurate Bias-Free Learning V. Kurmi Rishabh Sharma Yash Sharma Vinay P. Namboodiri FaML 13 2 0 17 Feb 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
Fairness Indicators for Systematic Assessments of Visual Feature Extractors Priya Goyal Adriana Romero Soriano C. Hazirbas Levent Sagun Nicolas Usunier EGVM 20 31 0 15 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 22 75 0 04 Feb 2022
TIML: Task-Informed Meta-Learning for Agriculture Gabriel Tseng Hannah Kerner David Rolnick 11 7 0 04 Feb 2022
A Systematic Study of Bias Amplification Melissa Hall L. V. D. van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 92 70 0 27 Jan 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models Mannat Singh Laura Gustafson Aaron B. Adcock Vinicius de Freitas Reis B. Gedik Raj Prateek Kosaraju D. Mahajan Ross B. Girshick Piotr Dollár L. V. D. van der Maaten VLM 32 122 0 20 Jan 2022
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents Ethan Weber Dim P. Papadopoulos Àgata Lapedriza Ferda Ofli Muhammad Imran Antonio Torralba 53 23 0 11 Jan 2022
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 19 3 0 30 Nov 2021
AI and the Everything in the Whole Wide World Benchmark Inioluwa Deborah Raji Emily M. Bender Amandalynne Paullada Emily L. Denton A. Hanna 20 291 0 26 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 35 21 0 23 Nov 2021
RedCaps: web-curated image-text data created by the people, for the people Karan Desai Gaurav Kaul Zubin Aysola Justin Johnson 12 162 0 22 Nov 2021
Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing Abhilash Mishra Yash Gorana 19 3 0 16 Nov 2021
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models Arvindkumar Krishnakumar Tong He Shengji Tang Judy Hoffman 13 30 0 29 Oct 2021
Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias William Thong Cees G. M. Snoek 9 14 0 27 Oct 2021
Visually Grounded Reasoning across Languages and Cultures Fangyu Liu Emanuele Bugliarello E. Ponti Siva Reddy Nigel Collier Desmond Elliott VLM LRM 101 167 0 28 Sep 2021
PASS: An ImageNet replacement for self-supervised pretraining without humans Yuki M. Asano Christian Rupprecht Andrew Zisserman Andrea Vedaldi VLM SSL 13 57 0 27 Sep 2021
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning Da Yin Liunian Harold Li Ziniu Hu Nanyun Peng Kai-Wei Chang 83 52 0 14 Sep 2021
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development M. Scheuerman Emily L. Denton A. Hanna 14 203 0 09 Aug 2021
The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI Susan von Struensee 6 3 0 11 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models G. dÉon Jason dÉon J. R. Wright Kevin Leyton-Brown 20 74 0 01 Jul 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 19 134 0 16 Jun 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 11 8 0 15 Jun 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim M. Alabdulmohsin Mario Lucic 19 22 0 06 Jun 2021
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency Kyra Yee U. Tantipongpipat Shubhanshu Mishra 11 46 0 18 May 2021
A Step Toward More Inclusive People Annotations for Fairness Candice Schumann Susanna Ricco Utsav Prabhu V. Ferrari C. Pantofaru 20 62 0 05 May 2021
Towards Measuring Fairness in AI: the Casual Conversations Dataset C. Hazirbas Joanna Bitton Brian Dolhansky Jacqueline Pan Albert Gordo Cristian Canton Ferrer EGVM 17 92 0 06 Apr 2021
Model Selection's Disparate Impact in Real-World Deep Learning Applications Jessica Zosa Forde A. Feder Cooper Kweku Kwegyir-Aggrey Chris De Sa Michael Littman 11 22 0 01 Apr 2021
Distilling Object Detectors via Decoupled Features Jianyuan Guo Kai Han Yunhe Wang Han Wu Xinghao Chen Chunjing Xu Chang Xu 24 199 0 26 Mar 2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs Solon Barocas Anhong Guo Ece Kamar J. Krones Meredith Ringel Morris Jennifer Wortman Vaughan Duncan Wadsworth Hanna M. Wallach 10 74 0 10 Mar 2021
Understanding the Representation and Representativeness of Age in AI Data Sets J. Park Michael S. Bernstein Robin N. Brewer Ece Kamar Meredith Ringel Morris AI4TS 13 31 0 10 Mar 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 423 0 17 Feb 2021
Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits Jack Bandy MLAU 18 108 0 03 Feb 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 237 488 0 31 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 44 510 0 09 Dec 2020
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 22 49 0 07 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
The Selectivity and Competition of the Mind's Eye in Visual Perception Edward J. Kim Maryam Daniali Jocelyn Rego Garrett T. Kenyon CVBM 6 1 0 23 Nov 2020
Geography-Aware Self-Supervised Learning Kumar Ayush Burak Uzkent Chenlin Meng Kumar Tanmay Marshall Burke David B. Lobell Stefano Ermon SSL 23 227 0 19 Nov 2020
Pitfalls in Machine Learning Research: Reexamining the Development Cycle Stella Biderman Walter J. Scheirer 19 26 0 04 Nov 2020
Teaching a GAN What Not to Learn Siddarth Asokan C. Seelamantula GAN 6 19 0 29 Oct 2020
Improved Multi-Source Domain Adaptation by Preservation of Factors Sebastian Schrom Stephan Hasler J. Adamy OOD 14 6 0 15 Oct 2020
Characterising Bias in Compressed Models Sara Hooker Nyalleng Moorosi Gregory Clark Samy Bengio Emily L. Denton 6 181 0 06 Oct 2020
Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game M. Kunda Irina Rabkina 17 3 0 30 Sep 2020
Prune Responsibly Michela Paganini VLM 14 21 0 10 Sep 2020
Detecting natural disasters, damage, and incidents in the wild Ethan Weber Nuria Marzo Dim P. Papadopoulos A. Biswas Àgata Lapedriza Ferda Ofli Muhammad Imran Antonio Torralba 14 55 0 20 Aug 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