Controllable Invariance through Adversarial Feature Learning
Neural Information Processing Systems (NeurIPS), 2017
Papers citing "Controllable Invariance through Adversarial Feature Learning"
50 / 190 papers shown
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 Fundamental Limits of Perfect Concept ErasureInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 |
 Alpha and Prejudice: Improving -sized Worst-case Fairness via
Intrinsic ReweightingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 |
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 Prompt Optimization via Adversarial In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Fair Supervised Learning with A Simple Random Sampler of Sensitive
AttributesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Invariance Measures for Neural NetworksApplied Soft Computing (ASC), 2022 |
 A Novel Information-Theoretic Objective to Disentangle Representations
for Fair ClassificationInternational Joint Conference on Natural Language Processing (IJCNLP), 2023 |
 Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda
for Developing Practical Guidelines and ToolsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023 |
 Towards Poisoning Fair RepresentationsInternational Conference on Learning Representations (ICLR), 2023 |
 SOAR: Scene-debiasing Open-set Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2023 |
 LEACE: Perfect linear concept erasure in closed formNeural Information Processing Systems (NeurIPS), 2023 |
 Shielded Representations: Protecting Sensitive Attributes Through
Iterative Gradient-Based ProjectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 FLAC: Fairness-Aware Representation Learning by Suppressing
Attribute-Class AssociationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
 Efficient fair PCA for fair representation learningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Scalable Infomin LearningNeural Information Processing Systems (NeurIPS), 2023 |
 Parameter-efficient Modularised Bias Mitigation via AdapterFusionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 On the Alignment of Group Fairness with Attribute PrivacyWISE (WISE), 2022 |
 MMD-B-Fair: Learning Fair Representations with Statistical TestingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 Unbiased Supervised Contrastive LearningInternational Conference on Learning Representations (ICLR), 2022 |
 Log-linear Guardedness and its ImplicationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 FARE: Provably Fair Representation Learning with Practical CertificatesInternational Conference on Machine Learning (ICML), 2022 |
 MEDFAIR: Benchmarking Fairness for Medical ImagingInternational Conference on Learning Representations (ICLR), 2022 |
 Improving Image Clustering through Sample Ranking and Its Application to
remote--sensing imagesRemote Sensing (RS), 2022 |
