Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation | Paper Citation Record

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This paper cites A closer look at memorization in deep networks.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation A closer look at memorization in deep networks

Reference 1

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This paper cites Learning de-biased representations with biased representations.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning de-biased representations with biased representations

Reference 2

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This paper cites Mitigating biases in blackbox feature extractors for image classification tasks.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Mitigating biases in blackbox feature extractors for image classification tasks

Reference 3

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation indepen- dent components

Reference 4

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Al- gorithms for the matrix pth root

Reference 5

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This paper cites Rubi: Reducing unimodal biases for visual question answering.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Rubi: Reducing unimodal biases for visual question answering

Reference 6

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This paper cites Building classifiers with independency constraints.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Building classifiers with independency constraints

Reference 7

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This paper cites Fast model debias with machine un- learning.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Fast model debias with machine un- learning

Reference 8

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This paper cites Better may not be fairer: A study on subgroup discrepancy in image classification.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Better may not be fairer: A study on subgroup discrepancy in image classification

Reference 9

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This paper cites Improving generalization of batch whitening by convo- lutional unit optimization.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Improving generalization of batch whitening by convo- lutional unit optimization

Reference 10

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This paper cites Flexibly fair representation learning by disentan- glement.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Flexibly fair representation learning by disentan- glement

Reference 11

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This paper cites Cholesky factor- ization of matrices in parallel and ranking of graphs.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Cholesky factor- ization of matrices in parallel and ranking of graphs

Reference 12

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This paper cites Whitening for self-supervised representation learning.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Whitening for self-supervised representation learning

Reference 13

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This paper cites On Formalizing Fairness in Prediction with Machine Learning.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation On Formalizing Fairness in Prediction with Machine Learning

Reference 14

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This paper cites Equality of op- portunity in supervised learning.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Equality of op- portunity in supervised learning

Reference 15

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This paper cites Deep residual learning for image recognition.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Deep residual learning for image recognition

Reference 16

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This paper cites Newton’s method for the matrix square root.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Newton’s method for the matrix square root

Reference 17

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This paper cites Functions of matrices: theory and com- putation.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Functions of matrices: theory and com- putation

Reference 18

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This paper cites Decorre- lated batch normalization.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Decorre- lated batch normalization

Reference 19

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This paper cites It- erative normalization: Beyond standardization towards ef- ficient whitening.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation It- erative normalization: Beyond standardization towards ef- ficient whitening

Reference 20

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This paper cites An investigation into the stochasticity of batch whiten- ing.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation An investigation into the stochasticity of batch whiten- ing

Reference 21

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This paper cites Selecmix: Debiased learning by mixing up contradicting pairs.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Selecmix: Debiased learning by mixing up contradicting pairs

Reference 22

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This paper cites Neu- ral tangent kernel: Convergence and generalization in neural networks.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Neu- ral tangent kernel: Convergence and generalization in neural networks

Reference 23

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Fair feature distillation for visual recognition

Reference 24

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This paper cites A style-based generator architecture for generative adversarial networks.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation A style-based generator architecture for generative adversarial networks

Reference 25

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Optimal whitening and decorrelation

Reference 26

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This paper cites Supervised contrastive learning.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Supervised contrastive learning

Reference 27

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This paper cites Avoiding discrimination through causal reason- ing.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Avoiding discrimination through causal reason- ing

Reference 28

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This paper cites Learning not to learn: Training deep neural networks with biased data.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning not to learn: Training deep neural networks with biased data

Reference 29

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This paper cites Biaswap: Removing dataset bias with bias-tailored swapping augmen- tation.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Biaswap: Removing dataset bias with bias-tailored swapping augmen- tation

Reference 30

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning debiased classifier with biased committee

Reference 31

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Nlnl: Negative learning for noisy labels

Reference 32

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This paper cites Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 33

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning multiple layers of features from tiny images

Reference 34

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Deep Neural Networks as Gaussian Processes

Reference 35

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This paper cites Learning debiased representation via disentan- gled feature augmentation.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning debiased representation via disentan- gled feature augmentation

Reference 36

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Just train twice: Improving group robustness without training group information

Reference 37

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Deep learning face attributes in the wild

Reference 38

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Deep learning face attributes in the wild

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning from failure: De-biasing classifier from biased classifier

Reference 40

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This paper cites Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation

Reference 41

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This paper cites Learning disentangled representation for fair facial attribute classification via fairness-aware information align- ment.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning disentangled representation for fair facial attribute classification via fairness-aware information align- ment

Reference 42

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Fair contrastive learn- ing for facial attribute classification

Reference 43

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Gradient reversal against discrimination: A fair neural network learning approach

Reference 44

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This paper cites Learning unbiased representations via mutual information backpropagation.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning unbiased representations via mutual information backpropagation

Reference 45

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Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation why should i trust you?

Reference 46

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This paper cites FairBatch: Batch Selection for Model Fairness.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation FairBatch: Batch Selection for Model Fairness

Reference 47

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This paper cites Unsuper- vised domain adaptation using feature-whitening and con- sensus loss.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Unsuper- vised domain adaptation using feature-whitening and con- sensus loss

Reference 48

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This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 49

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This paper cites Information-Theoretic Bias Reduction via Causal View of Spurious Correlation.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Information-Theoretic Bias Reduction via Causal View of Spurious Correlation

Reference 50

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This paper cites Whitening and Coloring batch transform for GANs.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Whitening and Coloring batch transform for GANs

Reference 51

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This paper cites End: Entangling and disentangling deep rep- resentations for bias correction.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation End: Entangling and disentangling deep rep- resentations for bias correction

Reference 52

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This paper cites Learning Robust Representations by Projecting Superficial Statistics Out.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning Robust Representations by Projecting Superficial Statistics Out

Reference 53

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This paper cites Improving out-of-distribution robustness via selective augmentation.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Improving out-of-distribution robustness via selective augmentation

Reference 54

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Observation c33905fe-ae21-484f-a832-02191badf8ac · outbound

This paper cites Network Deconvolution.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Network Deconvolution

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:48:02.359372Z

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Observation d59c4ca7-4e92-4c9b-9bed-278657cf01a0 · outbound

This paper cites Wide Residual Networks.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Wide Residual Networks

Reference 56

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Observation 35e0b98a-2f2a-4d39-91da-d4a6a4fe2a19 · outbound

This paper cites Mitigating unwanted biases with adversarial learning.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Mitigating unwanted biases with adversarial learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:03.396817Z

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Observation a66ce5d5-fd87-45fd-839b-eeda6facbf6e · outbound

This paper cites Contrastive adapters for foundation model group robustness.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Contrastive adapters for foundation model group robustness

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:03.192680Z

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Observation 6a9fa603-28ab-4560-ba98-7c14323759d4 · outbound

This paper cites Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:01.958398Z

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Observation 0f282c90-806b-4a2d-8f47-7b3c96b85f8c · outbound

This paper cites Generalized cross entropy loss for training deep neural networks with noisy labels.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Generalized cross entropy loss for training deep neural networks with noisy labels

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:03.021060Z

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Observation 70a9266e-b5dd-4cca-aa49-ad8d573ed373 · outbound

This paper cites Learning bias-invariant representation by cross-sample mutual information minimization.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Learning bias-invariant representation by cross-sample mutual information minimization

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:02.854750Z

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Observation 3c334263-56c5-4ed9-b7b3-a55cecf4ae78 · outbound

This paper cites Object Recognition with and without Objects.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Object Recognition with and without Objects

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:02.197292Z

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