An Empirical Comparison of Instance Attribution Methods for NLP

9 April 2021

Papers citing "An Empirical Comparison of Instance Attribution Methods for NLP"

8 / 8 papers shown

Title
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification Leon Eshuijs Shihan Wang Antske Fokkens 26 0 0 09 May 2025
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre L. Dognin Kush R. Varshney FaML 25 28 0 13 Dec 2022
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors Hamish Ivison Noah A. Smith Hannaneh Hajishirzi Pradeep Dasigi 31 19 0 01 Dec 2022
Influence Functions for Sequence Tagging Models Sarthak Jain Varun Manjunatha Byron C. Wallace A. Nenkova TDI 30 8 0 25 Oct 2022
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora An Dau Thang Nguyen-Duc Hoang Thanh-Tung Nghi D. Q. Bui TDI 11 4 0 25 May 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc A. Madry TDI 38 130 0 01 Feb 2022
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 16 20 0 04 Nov 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 38 204 0 07 Sep 2021