From ImageNet to Image Classification: Contextualizing Progress on
Benchmarks

From ImageNet to Image Classification: Contextualizing Progress on Benchmarks

22 May 2020

Dimitris Tsipras

Shibani Santurkar

Papers citing "From ImageNet to Image Classification: Contextualizing Progress on Benchmarks"

16 / 16 papers shown

Title
How Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes A. Papenmeier Dagmar Kern Daniel Hienert Yvonne Kammerer C. Seifert 11 18 0 13 Feb 2023
Aligning Visual and Lexical Semantics Fausto Giunchiglia Mayukh Bagchi Xiaolei Diao VLM 11 6 0 13 Dec 2022
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance Ashish Hooda Andrey Labunets Tadayoshi Kohno Earlence Fernandes 11 2 0 08 Dec 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 25 12 0 09 Nov 2022
Bugs in the Data: How ImageNet Misrepresents Biodiversity A. Luccioni David Rolnick 16 43 0 24 Aug 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 22 4 0 11 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 16 89 0 29 Jun 2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet Vijay Vasudevan Benjamin Caine Raphael Gontijo-Lopes Sara Fridovich-Keil Rebecca Roelofs VLM UQCV 31 57 0 09 May 2022
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research Bernard Koch Emily L. Denton A. Hanna J. Foster 20 139 0 03 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 175 89 0 02 Dec 2021
Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing Abhilash Mishra Yash Gorana 17 3 0 16 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 19 26 0 03 Nov 2021
FathomNet: A global image database for enabling artificial intelligence in the ocean K. Katija E. Orenstein B. Schlining L. Lundsten K. Barnard ... O. Boulais M. Cromwell Erin R Butler Benjamin Woodward K. L. Bell 10 69 0 29 Sep 2021
Did the Model Change? Efficiently Assessing Machine Learning API Shifts Lingjiao Chen Tracy Cai Matei A. Zaharia James Y. Zou 11 17 0 29 Jul 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning Csaba Kertész VLM SSL 18 45 0 30 Mar 2021
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 216 1,398 0 04 Dec 2018