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FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
13 references·13 citing·40 second hop
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders (2021)FairFil: Contrastive Neural Debiasing Met…Towards Debiasing Sentence Representations (2020)Towards Debiasing Sentence Re…On Measuring Social Biases in Sentence Encoders (2019)On Measuring Social Biases in…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…Measuring Bias in Contextualized Word Representations (2019)Measuring Bias in Contextuali…Identifying and Reducing Gender Bias in Word-Level Language Models (2019)Identifying and Reducing Gend…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Gender-preserving Debiasing for Pre-trained Word Embeddings (2019)Gender-preserving Debiasing f…Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings (2019)Black is to Criminal as Cauca…Understanding the Origins of Bias in Word Embeddings (2018)Understanding the Origins of …Measuring and Mitigating Unintended Bias in Text Classification (2018)Measuring and Mitigating Unin…Learning Controllable Fair Representations (2018)Learning Controllable Fair Re…Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems (2018)Examining Gender and Race Bia…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Travel Demand Forecasting: A Fair AI Approach (2024)Travel Demand Forecasting: A …Towards fair decision: A novel representation method for debiasing pre-trained models (2024)Towards fair decision: A nove…Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation (2024)Mitigating social biases of p…Measuring complex psychological and sociological constructs in large-scale text (2024)Measuring complex psychologic…Unlearning Bias in Language Models by Partitioning Gradients (2023)Unlearning Bias in Language M…Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (2023)Toward Operationalizing Pipel…Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases (2023)Prompt Tuning Pushes Farther,…Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting (2023)Improving Gender Fairness of …Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models (2023)Gender-tuning: Empowering Fin…Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning (2023)Causal-Debias: Unifying Debia…An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models (2023)An Empirical Analysis of Para…Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT (2022)Why Knowledge Distillation Am…MABEL: Attenuating Gender Bias using Textual Entailment Data (2022)MABEL: Attenuating Gender Bia…Fairness through awareness (2012)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)A Survey on Bias and Fairness in Machine Learning (2021)Equality of Opportunity in Supervised Learning (2016)Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2020)Fairness in Machine Learning: A Survey (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Five sources of bias in natural language processing (2021)Trustworthy AI: A Computational Perspective (2022)Gender bias and stereotypes in Large Language Models (2023)Measuring emotion: The self-assessment manikin and the semantic differential (1994)IEMOCAP: interactive emotional dyadic motion capture database (2008)A review of affective computing: From unimodal analysis to multimodal fusion (2017)DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Word embeddings quantify 100 years of gender and ethnic stereotypes (2018)Gender Bias in Machine Translation (2021)Re-imagining Algorithmic Fairness in India and Beyond (2021)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them (2019)BBQ: A hand-built bias benchmark for question answering (2022)Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models (2024)Measuring individual differences in implicit cognition: The implicit association test. (1998)Measuring individual differences in implicit cognition: The implicit association test. (1998)Social Biases in NLP Models as Barriers for Persons with Disabilities (2020)Large pre-trained language models contain human-like biases of what is right and wrong to do (2022)Understanding and using the Implicit Association Test: I. An improved scoring algorithm. (2003)Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. (2009)An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models (2022)Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts (2022)CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models (2020)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)
this work references cited by second hop

References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2018Measuring and Mitigating Unintended Bias in Text Classification668 cited
  • 2019On Measuring Social Biases in Sentence Encoders461 cited
  • 2018Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems384 cited
  • 2019Measuring Bias in Contextualized Word Representations348 cited
  • 2019Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings262 cited
  • 2019Identifying and Reducing Gender Bias in Word-Level Language Models219 cited
  • 2020Towards Debiasing Sentence Representations154 cited
  • 2018Understanding the Origins of Bias in Word Embeddings119 cited
  • 2019Gender-preserving Debiasing for Pre-trained Word Embeddings113 cited
  • 2018Learning Controllable Fair Representations94 cited

Cited by

  • 2023Unlearning Bias in Language Models by Partitioning Gradients45 cited
  • 2023

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Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning
29 cited
  • 2023An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models24 cited
  • 2023Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting21 cited
  • 2022MABEL: Attenuating Gender Bias using Textual Entailment Data20 cited
  • 2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited
  • 2022Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT17 cited
  • 2023Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models17 cited
  • 2023Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases16 cited
  • 2024Towards fair decision: A novel representation method for debiasing pre-trained models16 cited
  • 2024Travel Demand Forecasting: A Fair AI Approach16 cited
  • 2024Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation15 cited
  • 2024Measuring complex psychological and sociological constructs in large-scale text2 cited