On the Foundations of Shortcut Learning

24 October 2023

Papers citing "On the Foundations of Shortcut Learning"

21 / 21 papers shown

Title
The Dual-Route Model of Induction Sheridan Feucht Eric Todd Byron C. Wallace David Bau 26 0 0 03 Apr 2025
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning Zheng Yang Ruoxin Chen Zhiyuan Yan Ke-Yue Zhang Xinghe Fu ... Xiujun Shu Taiping Yao Junchi Yan Shouhong Ding Xi Li 29 0 0 02 Apr 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao Zhaoxuan Wu Jingtan Wang Pang Wei Koh Bryan Kian Hsiang Low OOD 36 2 0 10 Mar 2025
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization Simone Bombari Marco Mondelli 106 0 0 03 Feb 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 41 4 0 28 Jan 2025
Layer Pruning with Consensus: A Triple-Win Solution Leandro Giusti Mugnaini Carolina Tavares Duarte Anna H. Reali Costa Artur Jordao 61 0 0 21 Nov 2024
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification Tom A. Lamb Adam Davies Alasdair Paren Philip H. S. Torr Francesco Pinto 45 0 0 30 Oct 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Hojoon Lee Dongyoon Hwang Donghu Kim Hyunseung Kim Jun Jet Tai K. Subramanian Peter R. Wurman Jaegul Choo Peter Stone Takuma Seno OffRL 60 6 0 13 Oct 2024
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? Liangze Jiang Damien Teney OODD OOD 21 1 0 03 Oct 2024
Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping Yikang Liu Lin Zhao Eric Z. Chen Xiao Chen Terrence Chen Shanhui Sun MedIm 26 0 0 28 Aug 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding Mang Ning A. A. Salah Itir Onal Ertugrul CVBM 70 4 0 15 Jul 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 20 6 0 08 Jul 2024
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection Choonghyun Park Hyuhng Joon Kim Junyeob Kim Youna Kim Taeuk Kim Hyunsoo Cho Hwiyeol Jo Sang-goo Lee Kang Min Yoo AAML 34 1 0 24 Jun 2024
LaCoOT: Layer Collapse through Optimal Transport Victor Quétu Nour Hezbri Enzo Tartaglione 18 0 0 13 Jun 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training Anchit Jain Rozhin Nobahari A. Baratin Stefano Sarao Mannelli 19 4 0 28 May 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 62 5 0 26 May 2024
Learned feature representations are biased by complexity, learning order, position, and more Andrew Kyle Lampinen Stephanie C. Y. Chan Katherine Hermann AI4CE FaML SSL OOD 19 5 0 09 May 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 86 18 0 04 Mar 2024
Getting aligned on representational alignment Ilia Sucholutsky Lukas Muttenthaler Adrian Weller Andi Peng Andreea Bobu ... Thomas Unterthiner Andrew Kyle Lampinen Klaus-Robert Muller M. Toneva Thomas L. Griffiths 54 72 0 18 Oct 2023
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 112 57 0 07 Nov 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 368 0 09 May 2020