Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective

6 October 2021

Papers citing "Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective"

9 / 9 papers shown

Title
DC is all you need: describing ReLU from a signal processing standpoint Christodoulos Kechris Jonathan Dan Jose Miranda David Atienza 36 1 0 23 Jul 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 94 18 0 04 Mar 2024
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 40 8 0 18 Feb 2023
SelecMix: Debiased Learning by Contradicting-pair Sampling Inwoo Hwang Sangjun Lee Yunhyeok Kwak Seong Joon Oh Damien Teney Jin-Hwa Kim Byoung-Tak Zhang OOD 326 28 0 04 Nov 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 34 316 0 06 Apr 2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Junbum Cha Kyungjae Lee Sungrae Park Sanghyuk Chun OOD 26 131 0 21 Mar 2022
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities Elias Eulig Piyapat Saranrittichai Chaithanya Kumar Mummadi K. Rambach William H. Beluch Xiahan Shi Volker Fischer 140 11 0 12 Aug 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 251 488 0 31 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019