A Game Theoretic Approach to Class-wise Selective Rationalization

A Game Theoretic Approach to Class-wise Selective Rationalization

28 October 2019

Papers citing "A Game Theoretic Approach to Class-wise Selective Rationalization"

19 / 19 papers shown

Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets W. Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang H. Wang Ruixuan Li 134 1 0 04 May 2025
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery Linan Yue Qi Liu Yichao Du Li Wang Weibo Gao Yanqing An 30 5 0 12 Mar 2024
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Haozhao Wang Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 32 9 0 07 Dec 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Haozhao Wang Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 41 12 0 23 May 2023
MGR: Multi-generator Based Rationalization Wei Liu Haozhao Wang Jun Wang Rui Li Xinyang Li Yuankai Zhang Yang Qiu 23 7 0 08 May 2023
Interlock-Free Multi-Aspect Rationalization for Text Classification Shuang Li Diego Antognini Boi Faltings 17 0 0 13 May 2022
Making a (Counterfactual) Difference One Rationale at a Time Michael J. Plyler Michal Green Min Chi 21 11 0 13 Jan 2022
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 18 41 0 26 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 24 19 0 11 May 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 36 38 0 03 Dec 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 25 26 0 04 Oct 2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani L. Varshney Caiming Xiong R. Socher Nazneen Rajani 26 288 0 26 Jun 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 25 73 0 24 Jun 2020
Adversarial Infidelity Learning for Model Interpretation Jian Liang Bing Bai Yuren Cao Kun Bai Fei-Yue Wang AAML 44 18 0 09 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 24 37 0 27 May 2020
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 227 201 0 06 Jul 2017
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012