mlsanityData to 7 Oct 2026

Gradient Reversal Against Discrimination

arXiv 1807.00392 ↗First posted 1 Jul 2018stat.ML cs.AI cs.LGcited by 20

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Abstract (arXiv)

No methods currently exist for making arbitrary neural networks fair. In this work we introduce GRAD, a new and simplified method to producing fair neural networks that can be used for auto-encoding fair representations or directly with predictive networks. It is easy to implement and add to existing architectures, has only one (insensitive) hyper-parameter, and provides improved individual and group fairness. We use the flexibility of GRAD to demonstrate multi-attribute protection.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jul 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 8; 2023: 2; 2024: 4; 2025: 2; 2026: 3.

20 papers.

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  1. 2022Bias Mitigation for Machine Learning Classifiers: A Comprehensive Surveycited by 125
  2. 2022Fair Contrastive Learning for Facial Attribute Classificationcited by 71
  3. 2023Efficient fair PCA for fair representation learningcited by 23
  4. 2022Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Mediacited by 20
  5. 2024Representation Learning and Identity Adversarial Training for Facial Behavior Understandingcited by 12
  6. 2022Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networkscited by 10
  7. 2022FairGrad: Fairness Aware Gradient Descentcited by 8
  8. 2022A Realism Metric for Generated LiDAR Point Cloudscited by 5
  9. 2024Can Large Language Models (or Humans) Disentangle Text?cited by 3
  10. 2021Quantifying point cloud realism through adversarially learned latent representationscited by 2
  11. 2023Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Featurescited by 2
  12. 2024A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classificationcited by 2
8 more
  1. 2025Controllable Feature Whitening for Hyperparameter-Free Bias Mitigationcited by 2
  2. 2022Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagerycited by 1
  3. 2026SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognitioncited by 1
  4. 2022Fair Visual Recognition via Intervention with Proxy Featurescited by 0
  5. 2024What Happens to a Dataset Transformed by a Projection-based Concept Removal Method?cited by 0
  6. 2025Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Modelscited by 0
  7. 2026ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairscited by 0
  8. 2026Fairness-Aware Mixture-of-Experts via Subgroup Reweighting and Gate Regularizationcited by 0