Identifying Statistical Bias in Dataset Replication

19 May 2020

Papers citing "Identifying Statistical Bias in Dataset Replication"

21 / 21 papers shown

Title
Revisiting Data Auditing in Large Vision-Language Models Hongyu Zhu Sichu Liang Wei Wang Boheng Li Tongxin Yuan Fangqi Li Shilin Wang Zhuosheng Zhang VLM 224 0 0 25 Apr 2025
Blind Baselines Beat Membership Inference Attacks for Foundation Models Debeshee Das Jie Zhang Florian Tramèr MIALM 85 28 1 23 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
A Decade's Battle on Dataset Bias: Are We There Yet? Zhuang Liu Kaiming He 44 28 0 13 Mar 2024
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement Esla Timothy Anzaku Hyesoo Hong Jin-Woo Park Wonjun Yang Kangmin Kim Jongbum Won Deshika Vinoshani Kumari Herath Arnout Van Messem W. D. Neve 20 0 0 31 Jan 2024
Describing Differences in Image Sets with Natural Language Lisa Dunlap Yuhui Zhang Xiaohan Wang Ruiqi Zhong Trevor Darrell Jacob Steinhardt Joseph E. Gonzalez Serena Yeung-Levy CoGe VLM 32 30 0 05 Dec 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 36 7 0 25 May 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation Joshua Vendrow Saachi Jain Logan Engstrom A. Madry OOD 32 34 0 15 Feb 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification Ali Borji VLM 37 0 0 29 Jan 2023
A Siren Song of Open Source Reproducibility Edward Raff Andrew L. Farris 16 9 0 09 Apr 2022
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels R. Joyce Edward Raff Charles K. Nicholas 43 16 0 23 Sep 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation Prithvijit Chattopadhyay Judy Hoffman Roozbeh Mottaghi Aniruddha Kembhavi 25 55 0 08 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor A. Madry 40 40 0 07 Jun 2021
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 29 48 0 19 Oct 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 13 154 0 16 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 42 463 0 30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 116 1,672 0 29 Jun 2020
Active Online Learning with Hidden Shifting Domains Yining Chen Haipeng Luo Tengyu Ma Chicheng Zhang 31 5 0 25 Jun 2020
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 19 397 0 12 Jun 2020
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 86 1,422 0 16 Jul 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016