COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation

14 October 2022

Papers citing "COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation"

50 / 52 papers shown

Title
DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation Jing Yang Lee Kong Aik Lee W. Gan 33 7 0 22 Nov 2021
Comparative Explanations of Recommendations Aobo Yang Nan Wang Renqin Cai Hongbo Deng Hongning Wang 89 11 0 01 Nov 2021
Unbiased Graph Embedding with Biased Graph Observations Nan Wang Lu Lin Jundong Li Hongning Wang CML 31 37 0 26 Oct 2021
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models Bing He M. Ahamad Srijan Kumar SILM AAML 319 28 0 14 Sep 2021
Towards Understanding and Mitigating Social Biases in Language Models Paul Pu Liang Chiyu Wu Louis-Philippe Morency Ruslan Salakhutdinov 63 387 0 24 Jun 2021
Personalized Transformer for Explainable Recommendation Lei Li Yongfeng Zhang Li Chen 93 138 0 25 May 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 40 144 0 20 May 2021
Explanation as a Defense of Recommendation Aobo Yang Nan Wang Hongbo Deng Hongning Wang AAML 33 23 0 24 Jan 2021
Generate Natural Language Explanations for Recommendation H. Chen Xu Chen Shaoyun Shi Yongfeng Zhang LRM 31 60 0 09 Jan 2021
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 36 85 0 19 Oct 2020
Investigating African-American Vernacular English in Transformer-Based Text Generation Sophie Groenwold Li-hsueh Ou Aesha Parekh Samhita Honnavalli Sharon Levy Diba Mirza William Yang Wang 19 73 0 06 Oct 2020
GRUEN for Evaluating Linguistic Quality of Generated Text Wanzheng Zhu S. Bhat 86 60 0 06 Oct 2020
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets Lequn Wang Thorsten Joachims FaML 35 61 0 04 Oct 2020
Controllable Text Generation with Focused Variation Lei Shu Alexandros Papangelis Yi-Chia Wang Gokhan Tur Hu Xu Zhaleh Feizollahi Bing-Quan Liu Piero Molino 69 11 0 25 Sep 2020
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning Y. Tang C. Tran Xian Li Peng-Jen Chen Naman Goyal Vishrav Chaudhary Jiatao Gu Angela Fan CLL 96 453 0 02 Aug 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 86 1,211 0 28 May 2020
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction Nan Wang Zhen Qin Xuanhui Wang Hongning Wang CML 45 27 0 18 May 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 42 121 0 21 Feb 2020
Plug and Play Language Models: A Simple Approach to Controlled Text Generation Sumanth Dathathri Andrea Madotto Janice Lan Jane Hung Eric Frank Piero Molino J. Yosinski Rosanne Liu KELM 93 957 0 04 Dec 2019
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation Po-Sen Huang Huan Zhang Ray Jiang Robert Stanforth Johannes Welbl Jack W. Rae Vishal Maini Dani Yogatama Pushmeet Kohli 45 211 0 08 Nov 2019
Learning Disentangled Representations for Recommendation Jianxin Ma Chang Zhou Peng Cui Hongxia Yang Wenwu Zhu CML DRL 44 307 0 31 Oct 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness Yongkai Wu Lu Zhang Xintao Wu Hanghang Tong FaML 94 115 0 20 Oct 2019
Towards Controllable and Personalized Review Generation P. Li Alexander Tuzhilin SyDa 35 36 0 30 Sep 2019
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 254 631 0 03 Sep 2019
Fairness in Deep Learning: A Computational Perspective Mengnan Du Fan Yang Na Zou Xia Hu FaML FedML 35 230 0 23 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 475 4,285 0 23 Aug 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 49 226 0 31 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 52 258 0 25 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 39 89 0 01 May 2019
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 180 5,668 0 21 Apr 2019
Personalized sentence generation using generative adversarial networks with author-specific word usage Chenhan Yuan Yi-Chin Huang GAN 24 10 0 20 Apr 2019
Identifying and Reducing Gender Bias in Word-Level Language Models Shikha Bordia Samuel R. Bowman FaML 78 324 0 05 Apr 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality A. Khademi Sanghack Lee David Foley Vasant Honavar FaML 26 95 0 27 Mar 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 84 1,451 0 29 Nov 2018
Counterfactual Fairness in Text Classification through Robustness Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Chi Alex Beutel 47 258 0 27 Sep 2018
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data Nan Wang Hongning Wang Yiling Jia Yue Yin 34 205 0 10 Jun 2018
Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators Shereen Oraby Lena Reed Shubhangi Tandon S. SharathT. S. Lukin M. Walker 37 67 0 22 May 2018
Hierarchical Neural Story Generation Angela Fan M. Lewis Yann N. Dauphin DiffM 125 1,604 0 13 May 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 62 433 0 11 May 2018
Explainable Recommendation: A Survey and New Perspectives Yongfeng Zhang Xu Chen XAI LRM 67 870 0 30 Apr 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 91 1,373 0 22 Jan 2018
Neural Rating Regression with Abstractive Tips Generation for Recommendation Piji Li Zihao Wang Zhaochun Ren Lidong Bing Wai Lam 46 294 0 01 Aug 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 32 990 0 27 Mar 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 184 1,566 0 20 Mar 2017
Toward Controlled Generation of Text Zhiting Hu Zichao Yang Xiaodan Liang Ruslan Salakhutdinov Eric Xing 136 986 0 02 Mar 2017
Neural Personalized Response Generation as Domain Adaptation Weinan Zhang Ting Liu Yifa Wang Qingfu Zhu 42 105 0 09 Jan 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 108 1,204 0 26 Oct 2016
Personalized Machine Translation: Preserving Original Author Traits Ella Rabinovich Shachar Mirkin Raj Nath Patel Lucia Specia S. Wintner 38 114 0 18 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 97 4,276 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 79 1,762 0 19 Sep 2016