Does Progress On Object Recognition Benchmarks Improve Real-World
Generalization?

Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?

24 July 2023

Polina Kirichenko

Diane Bouchacourt

Papers citing "Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?"

14 / 14 papers shown

Title
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing Xiaodan Li YueFeng Chen Yao Zhu Shuhui Wang Rong Zhang Hui Xue 55 24 0 30 Mar 2023
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets Damien Teney Yong Lin Seong Joon Oh Ehsan Abbasnejad OOD 450 48 0 01 Sep 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP Thao Nguyen Gabriel Ilharco Mitchell Wortsman Sewoong Oh Ludwig Schmidt CLIP VLM 83 100 0 10 Aug 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 66 35 0 29 Jun 2022
Beyond neural scaling laws: beating power law scaling via data pruning Ben Sorscher Robert Geirhos Shashank Shekhar Surya Ganguli Ari S. Morcos 56 436 0 29 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift? Yuge Shi Imant Daunhawer Julia E. Vogt Philip Torr Amartya Sanyal OOD 68 26 0 17 Jun 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 62 111 0 16 Feb 2022
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 48 269 0 09 Jul 2021
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 91 541 0 01 Jul 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 254 1,715 0 29 Jun 2020
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 171 1,454 0 16 Jul 2019
Learning Robust Global Representations by Penalizing Local Predictive Power Haohan Wang Songwei Ge Eric Xing Zachary Chase Lipton OOD 82 951 0 29 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 581 4,735 0 13 May 2019
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets Chris Dulhanty A. Wong 46 42 0 03 May 2019

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