conftrace_
← Application Areas
Machine Learning › Application Areas ›

Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract)* IJCAI 2022
Why Bad Coffee? Explaining BDI Agent Behaviour with Valuings (Extended Abstract) IJCAI 2022
Controllable Text Generation for Open-Domain Creativity and Fairness IJCAI 2022
Extending Decision Tree to Handle Multiple Fairness Criteria IJCAI 2022
Systematic Evaluation of Predictive Fairness IJCNLP 2022
VLStereoSet: A Study of Stereotypical Bias in Pre-trained Vision-Language Models IJCNLP 2022
The Lifecycle of “Facts”: A Survey of Social Bias in Knowledge Graphs IJCNLP 2022
Re-contextualizing Fairness in NLP: The Case of India IJCNLP 2022
Delivering Fairness in Human Resources AI: Mutual Information to the Rescue IJCNLP 2022
Robust Hate Speech Detection via Mitigating Spurious Correlations IJCNLP 2022
Analyzing Biases to Spurious Correlations in Text Classification Tasks IJCNLP 2022
Demographic-Aware Language Model Fine-tuning as a Bias Mitigation Technique IJCNLP 2022
Outlier-Aware Training for Improving Group Accuracy Disparities IJCNLP 2022
Text Characterization Toolkit (TCT) IJCNLP 2022
Reducing Offensive Replies in Open Domain Dialogue Systems INTERSPEECH 2022
Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities INTERSPEECH 2022
Training and typological bias in ASR performance for world Englishes INTERSPEECH 2022
Design Guidelines for Inclusive Speaker Verification Evaluation Datasets INTERSPEECH 2022
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation INTERSPEECH 2022
Are reported accuracies in the clinical speech machine learning literature overoptimistic? INTERSPEECH 2022
Mitigating bias against non-native accents INTERSPEECH 2022
Adversarial Reweighting for Speaker Verification Fairness INTERSPEECH 2022
Inherent Tradeoffs in Learning Fair Representations JMLR 2022
Fairness-Aware PAC Learning from Corrupted Data JMLR 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning JMLR 2022