Co-occurring keywords · papers mentioning both
Papers
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
ICLR 2021
On Learning Deep Models with Imbalanced Data Distribution
AAAI 2021
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
NAACL 2021
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
EMNLP 2021
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
NeurIPS 2021
Representation Learning With Statistical Independence to Mitigate Bias
WACV 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
EACL 2021
Sustainable Modular Debiasing of Language Models
EMNLP 2021
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning
NeurIPS 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods
NeurIPS 2021
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
ACL 2021
Understanding and Mitigating Annotation Bias in Facial Expression Recognition
ICCV 2021
WIKIBIAS: Detecting Multi-Span Subjective Biases in Language
EMNLP 2021
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
AAAI 2020
Automatically Neutralizing Subjective Bias in Text
AAAI 2020
Data preprocessing to mitigate bias: A maximum entropy based approach
ICML 2020
Debiasing knowledge graph embeddings
EMNLP 2020
Designing Committees for Mitigating Biases
AAAI 2020
Does Gender Matter? Towards Fairness in Dialogue Systems
COLING 2020
End-to-End Bias Mitigation by Modelling Biases in Corpora
ACL 2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
EMNLP 2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases
EMNLP 2020
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models
COLING 2020
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models
IJCAI 2020
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning
CVPR 2020