Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens

25 October 2022

Papers citing "Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens"

6 / 6 papers shown

Title
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque A. Gretton Alexander DÁmour Silvia Chiappa OOD CML 16 1 0 25 Jun 2024
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 26 23 0 09 Sep 2021
Competency Problems: On Finding and Removing Artifacts in Language Data Matt Gardner William Merrill Jesse Dodge Matthew E. Peters Alexis Ross Sameer Singh Noah A. Smith 143 106 0 17 Apr 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 128 368 0 09 May 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 187 574 0 02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,003 0 20 Apr 2018