Robustness to Spurious Correlations via Human Annotations

13 July 2020

Tatsunori Hashimoto

Papers citing "Robustness to Spurious Correlations via Human Annotations"

30 / 30 papers shown

Title
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 60 0 0 22 Mar 2025
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 48 17 0 01 Jul 2024
Autoencoder based approach for the mitigation of spurious correlations Srinitish Srinivasan Karthik Seemakurthy 38 0 0 27 Jun 2024
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution Bowen Ding Qingkai Min Shengkun Ma Yingjie Li Linyi Yang Yue Zhang 46 4 0 02 Apr 2024
Targeted Data Generation: Finding and Fixing Model Weaknesses Zexue He Marco Tulio Ribeiro Fereshte Khani 29 14 0 28 May 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 39 2 0 23 May 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 54 79 0 15 Nov 2022
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task Nyoungwoo Lee chaeHun Park Ho-Jin Choi Jaegul Choo 35 6 0 31 Oct 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation Phillip Howard Gadi Singer Vasudev Lal Yejin Choi Swabha Swayamdipta CML 60 25 0 22 Oct 2022
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability? Matija Franklin TDI 23 1 0 05 Oct 2022
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks Jiaying Wu Bryan Hooi 28 5 0 19 Sep 2022
Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang Mingyuan Tao Jiaxin Qi Zhenguang Liu Hanwang Zhang VLM 32 53 0 19 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 23 90 0 29 Jun 2022
Unveiling Transformers with LEGO: a synthetic reasoning task Yi Zhang A. Backurs Sébastien Bubeck Ronen Eldan Suriya Gunasekar Tal Wagner LRM 36 85 0 09 Jun 2022
Towards Fine-grained Causal Reasoning and QA Linyi Yang Zhen Wang Yuxiang Wu Jie Yang Yue Zhang 41 15 0 15 Apr 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning Jinghui Lu Linyi Yang Brian Mac Namee Yue Zhang 27 39 0 24 Mar 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 26 25 0 10 Feb 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 47 23 0 30 Nov 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 120 72 0 14 Oct 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach Zhao Wang Kai Shu A. Culotta OOD 21 14 0 03 Oct 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 38 22 0 02 Aug 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis Linyi Yang Jiazheng Li Padraig Cunningham Yue Zhang Barry Smyth Ruihai Dong 19 47 0 29 Jun 2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation Prakhar Gupta Yulia Tsvetkov Jeffrey P. Bigham 42 22 0 10 Jun 2021
StyleLess layer: Improving robustness for real-world driving Julien Rebut Andrei Bursuc P. Pérez 30 5 0 25 Mar 2021
Regularizing towards Causal Invariance: Linear Models with Proxies Michael Oberst Nikolaj Thams J. Peters David Sontag OOD 30 23 0 03 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,383 0 14 Dec 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 48 536 0 01 Jul 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 242 321 0 21 Aug 2019
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 791 0 19 Feb 2009