Understanding Rare Spurious Correlations in Neural Networks

Understanding Rare Spurious Correlations in Neural Networks

10 February 2022

Kamalika Chaudhuri

Papers citing "Understanding Rare Spurious Correlations in Neural Networks"

19 / 19 papers shown

Title
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods Danial Hooshyar Eve Kikas Yeongwook Yang Gustav Šír Raija Hamalainen T. Karkkainen Roger Azevedo 59 1 0 01 Apr 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui Haiqi Zhang Chi Zhang 85 0 0 12 Mar 2025
Trustworthy AI on Safety, Bias, and Privacy: A Survey Xingli Fang Jianwei Li Varun Mulchandani Jung-Eun Kim 45 0 0 11 Feb 2025
The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat Mohammad Pezeshki Elvis Dohmatob David Lopez-Paz Pascal Vincent OOD 105 3 0 10 Dec 2024
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition Barproda Halder Faisal Hamman Pasan Dissanayake Qiuyi Zhang Ilia Sucholutsky Sanghamitra Dutta 46 2 0 29 Jun 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 44 5 0 30 May 2024
ComFe: An Interpretable Head for Vision Transformers Evelyn J. Mannix H. Bondell Howard Bondell VLM ViT 34 1 0 07 Mar 2024
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 38 36 0 15 Sep 2023
Robust Learning with Progressive Data Expansion Against Spurious Correlation Yihe Deng Yu Yang Baharan Mirzasoleiman Quanquan Gu OOD MLT 29 24 0 08 Jun 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features Simone Bombari Marco Mondelli AAML 37 4 0 20 May 2023
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations Shea Cardozo Gabriel Islas Montero Dmitry Kazhdan B. Dimanov Maleakhi A. Wijaya M. Jamnik Pietro Lio AAML 28 0 0 14 Nov 2022
On Background Bias in Deep Metric Learning Konstantin Kobs Andreas Hotho 22 1 0 04 Oct 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks Y. Mao L. Sha Huajie Shao Yuliang Gu Qixin Wang Tarek F. Abdelzaher PINN AI4CE 34 1 0 27 Sep 2022
If Influence Functions are the Answer, Then What is the Question? Juhan Bae Nathan Ng Alston Lo Marzyeh Ghassemi Roger C. Grosse TDI 26 88 0 12 Sep 2022
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 20 12 0 29 Aug 2022
Unintended memorisation of unique features in neural networks J. Hartley Sotirios A. Tsaftaris 30 1 0 20 May 2022
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 23 71 0 04 Jul 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,824 0 14 Dec 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 371 0 09 May 2020