Salient ImageNet: How to discover spurious features in Deep Learning?

8 October 2021

Papers citing "Salient ImageNet: How to discover spurious features in Deep Learning?"

25 / 25 papers shown

Title
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 30 0 0 13 May 2025
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models Mishal Fatima Steffen Jung M. Keuper 40 0 0 06 May 2025
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers Quentin Guimard Moreno DÍncà Massimiliano Mancini Elisa Ricci SSL 72 0 0 29 Apr 2025
Sebra: Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyath Abhra Chaudhuri Ajay Jaiswal Ziquan Liu Yunpeng Li Xiatian Zhu L. Yin CML 119 1 1 30 Jan 2025
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 54 0 0 15 Jun 2024
ECOR: Explainable CLIP for Object Recognition Ali Rasekh Sepehr Kazemi Ranjbar Milad Heidari Wolfgang Nejdl VLM 46 4 0 19 Apr 2024
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection Mohammad Azizmalayeri Reza Abbasi Amir Hosein Haji Mohammad Rezaie Reihaneh Zohrabi Mahdi Amiri M. T. Manzuri M. Rohban 19 0 0 31 Oct 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features Simone Bombari Marco Mondelli AAML 28 4 0 20 May 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 191 30 0 09 Mar 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 40 32 0 26 Jan 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 34 71 0 09 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases Mazda Moayeri Wenxiao Wang Sahil Singla S. Feizi 69 14 0 05 Dec 2022
ModelDiff: A Framework for Comparing Learning Algorithms Harshay Shah Sung Min Park Andrew Ilyas A. Madry SyDa 51 26 0 22 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning Zenglin Shi Jing Jie Ying Sun J. Lim Mengmi Zhang CLL 39 1 0 21 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 27 4 0 17 Nov 2022
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning Misgina Tsighe Hagos Kathleen M. Curran Brian Mac Namee 23 10 0 15 Nov 2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations Badr Youbi Idrissi Diane Bouchacourt Randall Balestriero Ivan Evtimov C. Hazirbas Nicolas Ballas Pascal Vincent M. Drozdzal David Lopez-Paz Mark Ibrahim VLM ViT 51 45 0 03 Nov 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 36 117 0 20 Oct 2022
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 20 12 0 29 Aug 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 27 20 0 29 Jun 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 42 7 0 27 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
Contrastive language and vision learning of general fashion concepts P. Chia Giuseppe Attanasio Federico Bianchi Silvia Terragni A. Magalhães Diogo Gonçalves C. Greco Jacopo Tagliabue CLIP 21 42 0 08 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 49 318 0 06 Apr 2022
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features N. Kalibhat Kanika Narang Hamed Firooz Maziar Sanjabi S. Feizi SSL 38 7 0 03 Mar 2022