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Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization.

, , , and . DAGM, volume 14264 of Lecture Notes in Computer Science, page 394-408. Springer, (2023)

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Reducing Bias in Pre-trained Models by Tuning while Penalizing Change., , and . CoRR, (2024)Investigating Neural Network Training on a Feature Level Using Conditional Independence., , , and . ECCV Workshops (6), volume 13806 of Lecture Notes in Computer Science, page 383-399. Springer, (2022)Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization., , , and . DAGM, volume 14264 of Lecture Notes in Computer Science, page 394-408. Springer, (2023)Interpreting Art by Leveraging Pre-Trained Models., and . MVA, page 1-6. IEEE, (2023)Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances., , , and . ICCV (Workshops), page 572-581. IEEE, (2023)Investigating the Consistency of Uncertainty Sampling in Deep Active Learning., , , and . GCPR, volume 13024 of Lecture Notes in Computer Science, page 159-173. Springer, (2021)Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification., , , , and . CVPR Workshops, page 1810-1819. Computer Vision Foundation / IEEE, (2021)The Power of Properties: Uncovering the Influential Factors in Emotion Classification., , , and . CoRR, (2024)When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out., , , and . CoRR, (2024)