Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis

23 May 2023

Papers citing "Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis"

7 / 7 papers shown

Title
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers Jieyu Zhao Xuezhi Wang Yao Qin Jilin Chen Kai-Wei Chang UQCV 47 2 0 28 Oct 2022
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens Nitish Joshi X. Pan Hengxing He CML 42 28 0 25 Oct 2022
On the Transformation of Latent Space in Fine-Tuned NLP Models Nadir Durrani Hassan Sajjad Fahim Dalvi Firoj Alam 27 17 0 23 Oct 2022
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 108 52 0 14 Oct 2021
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding Yanan Zheng Jing Zhou Yujie Qian Ming Ding Chonghua Liao Jian Li Ruslan Salakhutdinov Jie Tang Sebastian Ruder Zhilin Yang ELM 204 29 0 27 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 151 106 0 17 Apr 2021
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 6,927 0 20 Apr 2018