Adversarial Removal of Demographic Attributes from Text Data

20 August 2018

Papers citing "Adversarial Removal of Demographic Attributes from Text Data"

41 / 91 papers shown

Title
A Survey of Race, Racism, and Anti-Racism in NLP Anjalie Field Su Lin Blodgett Zeerak Talat Yulia Tsvetkov 42 122 0 21 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 22 36 0 10 Jun 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 29 142 0 20 May 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations Pierre Colombo Chloé Clavel Pablo Piantanida AAML DRL 26 50 0 06 May 2021
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers Navid Rekabsaz Simone Kopeinik Markus Schedl 24 60 0 28 Apr 2021
Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation Yu-Ping Ruan Zhenhua Ling DRL 27 16 0 18 Apr 2021
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics Vassilina Nikoulina Maxat Tezekbayev Nuradil Kozhakhmet Madina Babazhanova Matthias Gallé Z. Assylbekov 34 8 0 02 Mar 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 21 51 0 08 Feb 2021
EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction Bhanu Prakash Reddy Guda Aparna Garimella Niyati Chhaya 22 32 0 30 Jan 2021
Diverse Adversaries for Mitigating Bias in Training Xudong Han Timothy Baldwin Trevor Cohn 11 62 0 25 Jan 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings Masahiro Kaneko Danushka Bollegala FaML 38 38 0 23 Jan 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 218 137 0 23 Jan 2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking Sebastian Hofstatter Aldo Lipani Sophia Althammer Markus Zlabinger Allan Hanbury 60 15 0 18 Jan 2021
Multi-type Disentanglement without Adversarial Training Lei Sha Thomas Lukasiewicz DRL 49 12 0 16 Dec 2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness Lingjuan Lyu Xuanli He Yitong Li 35 89 0 03 Oct 2020
CausaLM: Causal Model Explanation Through Counterfactual Language Models Amir Feder Nadav Oved Uri Shalit Roi Reichart CML LRM 44 157 0 27 May 2020
Demoting Racial Bias in Hate Speech Detection Mengzhou Xia Anjalie Field Yulia Tsvetkov 38 116 0 25 May 2020
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning Pieter Delobelle Paul Temple Gilles Perrouin Benoit Frénay P. Heymans Bettina Berendt AAML FaML 24 14 0 14 May 2020
We Need to Talk About Random Splits Anders Søgaard Sebastian Ebert Jasmijn Bastings Katja Filippova 34 97 0 01 May 2020
Do Neural Ranking Models Intensify Gender Bias? Navid Rekabsaz Markus Schedl 16 57 0 01 May 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 29 369 0 16 Apr 2020
On the Language Neutrality of Pre-trained Multilingual Representations Jindrich Libovický Rudolf Rosa Alexander Fraser 25 101 0 09 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 24 262 0 31 Mar 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 36 220 0 10 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 58 944 0 04 Dec 2019
How Language-Neutral is Multilingual BERT? Jindrich Libovický Rudolf Rosa Alexander Fraser 21 115 0 08 Nov 2019
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition Mimansa Jaiswal E. Provost 39 73 0 29 Oct 2019
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Yair Horesh N. Haas Elhanan Mishraky Yehezkel S. Resheff Shir Meir Lador FaML 19 7 0 07 Aug 2019
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush AAML 45 69 0 09 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush 27 94 0 09 Jul 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 47 543 0 21 Jun 2019
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records Max Friedrich Arne Köhn Gregor Wiedemann Chris Biemann OOD MedIm 16 26 0 12 Jun 2019
Evaluating Gender Bias in Machine Translation Gabriel Stanovsky Noah A. Smith Luke Zettlemoyer 22 395 0 03 Jun 2019
Differential Privacy Has Disparate Impact on Model Accuracy Eugene Bagdasaryan Vitaly Shmatikov 6 467 0 28 May 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 19 148 0 28 May 2019
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation Ning Dai Jianze Liang Xipeng Qiu Xuanjing Huang DRL 16 202 0 14 May 2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification Daniel Borkan Lucas Dixon Jeffrey Scott Sorensen Nithum Thain Lucy Vasserman 28 473 0 11 Mar 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations Tianlu Wang Jieyu Zhao Mark Yatskar Kai-Wei Chang Vicente Ordonez FaML 34 17 0 20 Nov 2018
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 189 1,639 0 11 Oct 2017
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification Xilun Chen Yu Sun Ben Athiwaratkun Claire Cardie Kilian Q. Weinberger 224 315 0 06 Jun 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012