Fairness
1,279 papers
Papers per year
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Papers
Towards Fair, Equitable, and Efficient Peer Review
AAAI 2021
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning
NeurIPS 2021
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference
EMNLP 2021
Uncovering Latent Biases in Text: Method and Application to Peer Review
AAAI 2021
Understanding and Mitigating Annotation Bias in Facial Expression Recognition
ICCV 2021
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
NeurIPS 2021
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
EMNLP 2021
Using Gender- and Polarity-Informed Models to Investigate Bias
ACL 2021
VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services
AAAI 2021
“Was it “stated” or was it “claimed”?: How linguistic bias affects generative language models
EMNLP 2021
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations
AAAI 2020
Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems
IJCAI 2020
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
AAAI 2020
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract)
AAAI 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
NeurIPS 2020
A negative case analysis of visual grounding methods for VQA
ACL 2020
An Information-Theoretic Quantification of Discrimination with Exempt Features
AAAI 2020
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings
COLING 2020
Auditing ML Models for Individual Bias and Unfairness
AISTATS 2020
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
NeurIPS 2020
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction
AAAI 2020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation
ACL 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
EMNLP 2020
Debiasing knowledge graph embeddings
EMNLP 2020
Designing Committees for Mitigating Biases
AAAI 2020