← Application Areas
Machine Learning › Application Areas ›

Fairness

3337 directly classified papers

Papers per year

Papers

Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs EMNLP 2022
Geographic Citation Gaps in NLP Research EMNLP 2022
Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView EMNLP 2022
Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System EMNLP 2022
Improved Approximation Algorithms for Individually Fair Clustering AISTATS 2022
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques EMNLP 2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? EMNLP 2022
The (Undesired) Attenuation of Human Biases by Multilinguality EMNLP 2022
Adversarial Reweighting for Speaker Verification Fairness INTERSPEECH 2022
Mitigating bias against non-native accents INTERSPEECH 2022
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection EMNLP 2022
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media EMNLP 2022
On Distributionally Robust Optimization and Data Rebalancing AISTATS 2022
Learning Debiased Classifier with Biased Committee NIPS 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection NIPS 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data NIPS 2022
Self-Supervised Fair Representation Learning without Demographics NIPS 2022
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification NIPS 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm NIPS 2022
On Feature Learning in the Presence of Spurious Correlations NIPS 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness NIPS 2022
Explainability Via Causal Self-Talk NIPS 2022
Domain Adaptation meets Individual Fairness. And they get along. NIPS 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation NIPS 2022
On Gender Biases in Offensive Language Classification Models NAACL 2022