Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization | Paper Citation Record

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This paper cites Chaos: an introduction to dynamical systems.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Chaos: an introduction to dynamical systems

Reference 1

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This paper cites Adversarial bayesian augmentation for single-source domain generaliza- tion.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Adversarial bayesian augmentation for single-source domain generaliza- tion

Reference 2

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This paper cites Randaugment: Practical automated data augmenta- tion with a reduced search space.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Randaugment: Practical automated data augmenta- tion with a reduced search space

Reference 3

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This paper cites Attention consistency on visual corruptions for single-source domain generalization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Attention consistency on visual corruptions for single-source domain generalization

Reference 4

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This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Improved Regularization of Convolutional Neural Networks with Cutout

Reference 5

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This paper cites Optimal Machine Intelligence at the Edge of Chaos.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Optimal Machine Intelligence at the Edge of Chaos

Reference 6

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This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 7

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This paper cites Lya- punov stable learning laws for multilayer recurrent neural networks.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Lya- punov stable learning laws for multilayer recurrent neural networks

Reference 8

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This paper cites Train faster, generalize better: Stability of stochastic gradient descent.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Train faster, generalize better: Stability of stochastic gradient descent

Reference 9

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This paper cites Chaotic nature of the electroencephalo- gram during shallow and deep anesthesia: From analysis of the lyapunov exponent.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Chaotic nature of the electroencephalo- gram during shallow and deep anesthesia: From analysis of the lyapunov exponent

Reference 10

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This paper cites Deep residual learning for image recognition.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Deep residual learning for image recognition

Reference 11

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This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 12

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This paper cites Self-challenging improves cross-domain generalization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Self-challenging improves cross-domain generalization

Reference 13

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This paper cites Adam: A Method for Stochastic Optimization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Adam: A Method for Stochastic Optimization

Reference 14

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This paper cites Deeper, broader and artier domain generaliza- tion.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Deeper, broader and artier domain generaliza- tion

Reference 15

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This paper cites Pro- gressive domain expansion network for single domain gen- eralization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Pro- gressive domain expansion network for single domain gen- eralization

Reference 16

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This paper cites Deep learning via dynamical systems: An approximation perspective.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Deep learning via dynamical systems: An approximation perspective

Reference 17

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This paper cites Deep learning for hy- perspectral image classification: An overview.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Deep learning for hy- perspectral image classification: An overview

Reference 18

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This paper cites Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective

Reference 19

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This paper cites Decoupled Weight Decay Regularization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Decoupled Weight Decay Regularization

Reference 20

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This paper cites Reducing domain gap by reduc- ing style bias.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Reducing domain gap by reduc- ing style bias

Reference 21

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This paper cites A method for solving the convex program- ming problem with convergence rate o (1/k2).

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization A method for solving the convex program- ming problem with convergence rate o (1/k2)

Reference 22

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This paper cites A survey on transfer learn- ing.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization A survey on transfer learn- ing

Reference 23

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This paper cites Moment matching for multi-source domain adaptation.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Moment matching for multi-source domain adaptation

Reference 24

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This paper cites Learning to learn single domain generalization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Learning to learn single domain generalization

Reference 25

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This paper cites A stochastic approxi- mation method.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization A stochastic approxi- mation method

Reference 26

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This paper cites Transfer learning for visual categorization: A survey.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Transfer learning for visual categorization: A survey

Reference 27

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This paper cites Gradient Matching for Domain Generalization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Gradient Matching for Domain Generalization

Reference 28

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This paper cites Introduction to focus issue: When machine learn- ing meets complex systems: Networks, chaos, and nonlinear dynamics.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Introduction to focus issue: When machine learn- ing meets complex systems: Networks, chaos, and nonlinear dynamics

Reference 29

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This paper cites Rmsprop: Divide the gradient by a running average of its recent magnitude.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Rmsprop: Divide the gradient by a running average of its recent magnitude

Reference 30

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This paper cites Deep hashing network for unsupervised domain adaptation.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Deep hashing network for unsupervised domain adaptation

Reference 31

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This paper cites On lyapunov exponents for rnns: Under- standing information propagation using dynamical systems tools.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization On lyapunov exponents for rnns: Under- standing information propagation using dynamical systems tools

Reference 32

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This paper cites Generalizing to unseen domains via adversarial data augmentation.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Generalizing to unseen domains via adversarial data augmentation

Reference 33

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This paper cites Meta convolutional neural networks for single domain generalization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Meta convolutional neural networks for single domain generalization

Reference 34

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This paper cites Sharpness-aware gradient matching for domain generaliza- tion.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Sharpness-aware gradient matching for domain generaliza- tion

Reference 35

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This paper cites Learning to diversify for single do- main generalization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Learning to diversify for single do- main generalization

Reference 36

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This paper cites Simde: A simple domain expan- sion approach for single-source domain generalization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Simde: A simple domain expan- sion approach for single-source domain generalization

Reference 37

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Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Robust and Generalizable Visual Representation Learning via Random Convolutions

Reference 38

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This paper cites Improve Unsupervised Domain Adaptation with Mixup Training.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Improve Unsupervised Domain Adaptation with Mixup Training

Reference 39

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This paper cites Causality- inspired domain expansion network for single domain gener- alization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Causality- inspired domain expansion network for single domain gener- alization

Reference 40

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This paper cites Practical single domain generalization via training-time and test-time learn- ing.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Practical single domain generalization via training-time and test-time learn- ing

Reference 41

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This paper cites Gradient surgery for multi-task learning.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Gradient surgery for multi-task learning

Reference 42

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This paper cites Generalizing deep learning for medical image segmentation to unseen do- mains via deep stacked transformation.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Generalizing deep learning for medical image segmentation to unseen do- mains via deep stacked transformation

Reference 43

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This paper cites Edge of chaos as a guiding principle for modern neural network training.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Edge of chaos as a guiding principle for modern neural network training

Reference 44

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Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Asymptotic edge of chaos as guiding principle for neural net- work training

Reference 45

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This paper cites Flatness-aware minimization for domain generalization.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Flatness-aware minimization for domain generalization

Reference 46

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Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Maximum-entropy adversarial data augmentation for im- proved generalization and robustness

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:13.036531Z

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This paper cites Advst: Revisiting data augmentations for single domain generaliza- tion.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Advst: Revisiting data augmentations for single domain generaliza- tion

Reference 48

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This paper cites Mixstyle neural networks for domain generalization and adaptation.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Mixstyle neural networks for domain generalization and adaptation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:12.922732Z

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This paper cites A comprehensive survey on transfer learning.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization A comprehensive survey on transfer learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:12.624282Z

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This paper cites Surrogate Gap Minimization Improves Sharpness-Aware Training.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Surrogate Gap Minimization Improves Sharpness-Aware Training

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