From ImageNet to Image Classification: Contextualizing Progress on Benchmarks

22 May 2020

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

30 / 30 papers shown

Title
Model alignment using inter-modal bridges Ali Gholamzadeh Noor Sajid 2 0 0 18 May 2025
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion David Marwood S. Baluja Y. Alon DiffM 59 5 0 31 Oct 2023
Incremental Image Labeling via Iterative Refinement Fausto Giunchiglia Xiaolei Diao Mayukh Bagchi 11 1 0 18 Apr 2023
How Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes A. Papenmeier Dagmar Kern Daniel Hienert Yvonne Kammerer C. Seifert 31 18 0 13 Feb 2023
Does progress on ImageNet transfer to real-world datasets? Alex Fang Simon Kornblith Ludwig Schmidt VLM 26 34 0 11 Jan 2023
Aligning Visual and Lexical Semantics Fausto Giunchiglia Mayukh Bagchi Xiaolei Diao VLM 23 6 0 13 Dec 2022
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance Ashish Hooda Andrey Labunets Tadayoshi Kohno Earlence Fernandes 19 2 0 08 Dec 2022
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data Inha Cha Juhyun Oh Cheul Young Park Jiyoon Han Hwalsuk Lee 29 2 0 28 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Bugs in the Data: How ImageNet Misrepresents Biodiversity A. Luccioni David Rolnick 21 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 26 4 0 11 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 23 90 0 29 Jun 2022
Certifying Data-Bias Robustness in Linear Regression Anna P. Meyer Aws Albarghouthi Loris Dántoni 32 3 0 07 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 46 57 0 09 May 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 22 47 0 12 Apr 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 39 7 0 29 Dec 2021
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research Bernard Koch Emily L. Denton A. Hanna J. Foster 41 140 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 186 89 0 02 Dec 2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar Pau Rodríguez López Soumye Singhal David Vazquez Rameswar Panda VLM 26 30 0 23 Nov 2021
Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing Abhilash Mishra Yash Gorana 19 3 0 16 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 24 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 12 69 0 29 Sep 2021
PASS: An ImageNet replacement for self-supervised pretraining without humans Yuki M. Asano Christian Rupprecht Andrew Zisserman Andrea Vedaldi VLM SSL 21 57 0 27 Sep 2021
Did the Model Change? Efficiently Assessing Machine Learning API Shifts Lingjiao Chen Tracy Cai Matei A. Zaharia James Zou 20 17 0 29 Jul 2021
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? Roland S. Zimmermann Judy Borowski Robert Geirhos Matthias Bethge Thomas S. A. Wallis Wieland Brendel FAtt 47 31 0 23 Jun 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks Eric Wong Shibani Santurkar A. Madry FAtt 22 88 0 11 May 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning Csaba Kertész VLM SSL 28 45 0 30 Mar 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 414 142 0 13 Jan 2021
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 19 396 0 12 Jun 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018