Meta Curvature-Aware Minimization for Domain Generalization | Paper Citation Record

Observation 0604ff38-1cb0-41bc-9536-87028b871f2d · outbound

This paper cites Survey on deep neural networks in speech and vision systems.

Meta Curvature-Aware Minimization for Domain Generalization Survey on deep neural networks in speech and vision systems

Reference 1

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Observation 3db0c558-0263-4020-b63f-7ba62b1809f0 · outbound

This paper cites A state-of-the-art survey on deep learning theory and architectures.

Meta Curvature-Aware Minimization for Domain Generalization A state-of-the-art survey on deep learning theory and architectures

Reference 2

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Observation 5847ddc8-bb89-4807-9a13-9613e0aef8a4 · outbound

This paper cites Towards understanding sharpness-aware minimization.

Meta Curvature-Aware Minimization for Domain Generalization Towards understanding sharpness-aware minimization

Reference 3

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Observation e0ce8c43-7a78-40e5-a394-ccd7630da683 · outbound

This paper cites Invariant Risk Minimization.

Meta Curvature-Aware Minimization for Domain Generalization Invariant Risk Minimization

Reference 4

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Observation 7ea958f3-24e5-4b9f-9f6d-0a67e965ba83 · outbound

This paper cites Metareg: Towards domain generalization using meta- regularization.

Meta Curvature-Aware Minimization for Domain Generalization Metareg: Towards domain generalization using meta- regularization

Reference 5

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Observation 0bbd1b16-5893-42f6-857b-9a75cba17d00 · outbound

This paper cites Recognition in terra incognita.

Meta Curvature-Aware Minimization for Domain Generalization Recognition in terra incognita

Reference 6

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Observation 75820262-8aaa-46be-9bab-df6d36cf093d · outbound

This paper cites Domain generalization by marginal transfer learning.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization by marginal transfer learning

Reference 7

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Observation 4ff326fc-386b-485c-890f-6cd75da9c00e · outbound

This paper cites Ex- ploiting domain-specific features to enhance domain gener- alization.

Meta Curvature-Aware Minimization for Domain Generalization Ex- ploiting domain-specific features to enhance domain gener- alization

Reference 8

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Observation 15e9add1-b8ec-420e-916a-93c1d0dd45df · outbound

This paper cites Swad: Domain generalization by seeking flat minima.

Meta Curvature-Aware Minimization for Domain Generalization Swad: Domain generalization by seeking flat minima

Reference 9

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Observation c40bc75c-9e99-42d9-933c-aa85ad121235 · outbound

This paper cites Domain generalization by mutual-information regu- larization with pre-trained models.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization by mutual-information regu- larization with pre-trained models

Reference 10

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Observation 8f798550-685d-41e1-908d-e5b662f69d85 · outbound

This paper cites When vision transformers outperform resnets without pre-training or strong data augmentations.

Meta Curvature-Aware Minimization for Domain Generalization When vision transformers outperform resnets without pre-training or strong data augmentations

Reference 11

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Observation cb5f5d1c-c742-4bd1-9cfc-6c90e3a09b9a · outbound

This paper cites Treasure in distribution: a domain randomiza- tion based multi-source domain generalization for 2d medi- cal image segmentation.

Meta Curvature-Aware Minimization for Domain Generalization Treasure in distribution: a domain randomiza- tion based multi-source domain generalization for 2d medi- cal image segmentation

Reference 12

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Observation ce074fd4-a122-4206-a88f-08e363583bc6 · outbound

This paper cites Madg: margin-based adversarial learning for domain gener- alization.

Meta Curvature-Aware Minimization for Domain Generalization Madg: margin-based adversarial learning for domain gener- alization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.283863Z

Source-reported events for the cited work

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Observation 14b9cc1d-3eb0-40eb-8509-ff76fd4d8f16 · outbound

This paper cites Numerical meth- ods for unconstrained optimization and nonlinear equations.

Meta Curvature-Aware Minimization for Domain Generalization Numerical meth- ods for unconstrained optimization and nonlinear equations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.273801Z

Source-reported events for the cited work

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Observation 57edd04d-83bd-40a6-8a56-afe6d8985467 · outbound

This paper cites Sharp minima can generalize for deep nets.

Meta Curvature-Aware Minimization for Domain Generalization Sharp minima can generalize for deep nets

Reference 15

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Observation 2c3e21ae-13c1-4539-b51d-01db3e58324d · outbound

This paper cites Efficient 9 sharpness-aware minimization for improved training of neu- ral networks.

Meta Curvature-Aware Minimization for Domain Generalization Efficient 9 sharpness-aware minimization for improved training of neu- ral networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.253103Z

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Observation 9492a7e4-a0eb-4aa1-9c87-6f9be8081fe9 · outbound

This paper cites Unbiased met- ric learning: On the utilization of multiple datasets and web images for softening bias.

Meta Curvature-Aware Minimization for Domain Generalization Unbiased met- ric learning: On the utilization of multiple datasets and web images for softening bias

Reference 17

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Observation 28374e05-3099-4519-9bdb-d31425cf7788 · outbound

This paper cites Curvature measures.

Meta Curvature-Aware Minimization for Domain Generalization Curvature measures

Reference 18

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Observation 4dc43afc-f488-48a8-830c-889f9a201290 · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.

Meta Curvature-Aware Minimization for Domain Generalization Model- agnostic meta-learning for fast adaptation of deep networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.219030Z

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Observation b6de4cca-1328-4f95-8d64-6fe34095bf35 · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization.

Meta Curvature-Aware Minimization for Domain Generalization Sharpness-aware minimization for efficiently improving generalization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.207898Z

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Observation 19f7597d-7f7c-47b6-8c47-e34c6a274dbf · outbound

This paper cites Domain-adversarial training of neural networks.

Meta Curvature-Aware Minimization for Domain Generalization Domain-adversarial training of neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.196654Z

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Observation 47938e99-40b1-4c18-971a-115c24cd4c83 · outbound

This paper cites Loss surfaces, mode connectivity, and fast ensembling of dnns.

Meta Curvature-Aware Minimization for Domain Generalization Loss surfaces, mode connectivity, and fast ensembling of dnns

Reference 22

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Observation 78d01ffa-7303-4ac9-9104-da72cef1b0ae · outbound

This paper cites In search of lost do- main generalization.

Meta Curvature-Aware Minimization for Domain Generalization In search of lost do- main generalization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.173468Z

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Observation c245944c-15a7-41e5-9788-11d58fc2b245 · outbound

This paper cites Deep residual learning for image recognition.

Meta Curvature-Aware Minimization for Domain Generalization Deep residual learning for image recognition

Reference 24

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Observation 5da0f23d-3c40-41d5-92f4-cf908c771fa0 · outbound

This paper cites Simplifying neu- ral nets by discovering flat minima.

Meta Curvature-Aware Minimization for Domain Generalization Simplifying neu- ral nets by discovering flat minima

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.155628Z

Source-reported events for the cited work

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Observation 9ab85dcf-00c0-447b-84d6-1ef1ac9d03c7 · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization Self-challenging improves cross-domain generalization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.146648Z

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Observation a975df1a-7133-4536-95e4-421da08e491f · outbound

This paper cites A survey of deep meta-learning.

Meta Curvature-Aware Minimization for Domain Generalization A survey of deep meta-learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.137093Z

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Observation 9c8ad534-5ba0-47b9-b0e2-121a15b31a51 · outbound

This paper cites On the maximum hessian eigenvalue and generalization.

Meta Curvature-Aware Minimization for Domain Generalization On the maximum hessian eigenvalue and generalization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.127393Z

Source-reported events for the cited work

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Observation 5de714f1-be45-484a-8660-ae46e49890de · outbound

This paper cites On large- batch training for deep learning: Generalization gap and sharp minima.

Meta Curvature-Aware Minimization for Domain Generalization On large- batch training for deep learning: Generalization gap and sharp minima

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.118147Z

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Observation cc7d9b73-5d56-4d45-83fd-a9121f5b8f45 · outbound

This paper cites Domain generalization through meta-learning: a survey.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization through meta-learning: a survey

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.108107Z

Source-reported events for the cited work

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Observation e073a8c0-4317-48d3-8a40-e24a092d144f · outbound

This paper cites Selfreg: Self-supervised contrastive regu- larization for domain generalization.

Meta Curvature-Aware Minimization for Domain Generalization Selfreg: Self-supervised contrastive regu- larization for domain generalization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.095857Z

Source-reported events for the cited work

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Observation 053545a6-3df4-4d90-ab7c-0f41b02efc93 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Meta Curvature-Aware Minimization for Domain Generalization Adam: A Method for Stochastic Optimization

Reference 32

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Source-reported events for the cited work

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Observation cb716966-f92d-467f-817f-0679fb202bab · outbound

This paper cites Out-of-distribution gener- alization via risk extrapolation (rex).

Meta Curvature-Aware Minimization for Domain Generalization Out-of-distribution gener- alization via risk extrapolation (rex)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.084325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d09a371-e5c0-4a1d-a25a-399454fb7dc7 · outbound

This paper cites Fine-tuning can distort pre- trained features and underperform out-of-distribution.

Meta Curvature-Aware Minimization for Domain Generalization Fine-tuning can distort pre- trained features and underperform out-of-distribution

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.073674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1c65576-6d6c-48ec-accc-673052ad5af8 · outbound

This paper cites Asam: Adaptive sharpness-aware minimiza- tion for scale-invariant learning of deep neural networks.

Meta Curvature-Aware Minimization for Domain Generalization Asam: Adaptive sharpness-aware minimiza- tion for scale-invariant learning of deep neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.062663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89a353f6-5529-449c-bb2e-0d04af9fc529 · outbound

This paper cites Adaptive estimation of a quadratic functional by model selection.

Meta Curvature-Aware Minimization for Domain Generalization Adaptive estimation of a quadratic functional by model selection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.052038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4775886-1856-4621-bba3-8601fb7e57dc · outbound

This paper cites Gradient alignment for cross- domain face anti-spoofing.

Meta Curvature-Aware Minimization for Domain Generalization Gradient alignment for cross- domain face anti-spoofing

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.041877Z

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Observation 46953235-cecf-4ce2-9adc-9723c43d4fd4 · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization Deeper, broader and artier domain generaliza- tion

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.031247Z

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Observation 07806511-c40e-419b-9cac-73dbcf972997 · outbound

This paper cites Learning to generalize: Meta-learning for do- main generalization.

Meta Curvature-Aware Minimization for Domain Generalization Learning to generalize: Meta-learning for do- main generalization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.020881Z

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Observation a7cbe422-0a7a-415c-81f2-8724fa5fdedf · outbound

This paper cites Domain generalization with adversarial feature learning.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization with adversarial feature learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.011197Z

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Observation 481914bb-ee68-427d-a0d1-61c5163c9319 · outbound

This paper cites Visualizing the loss landscape of neural nets.

Meta Curvature-Aware Minimization for Domain Generalization Visualizing the loss landscape of neural nets

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:53.001935Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4c1178b-4981-496e-93cd-519db4023139 · outbound

This paper cites Friendly sharpness-aware minimization.

Meta Curvature-Aware Minimization for Domain Generalization Friendly sharpness-aware minimization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.992328Z

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Observation a795285e-7ed3-4a37-9d72-b344a09033ec · outbound

This paper cites Domain generalization via conditional invari- ant representations.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization via conditional invari- ant representations

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.983316Z

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Observation 828ae3e2-4ad7-41ff-81c9-e8c9a7e8a396 · outbound

This paper cites Deep domain generaliza- tion via conditional invariant adversarial networks.

Meta Curvature-Aware Minimization for Domain Generalization Deep domain generaliza- tion via conditional invariant adversarial networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.973475Z

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Observation 54ac3519-de57-4446-a4ac-eb13a65b3bbc · outbound

This paper cites Ms- net: multi-site network for improving prostate segmentation with heterogeneous mri data.

Meta Curvature-Aware Minimization for Domain Generalization Ms- net: multi-site network for improving prostate segmentation with heterogeneous mri data

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.962766Z

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Observation 30edfb76-39ef-4fce-ba0f-005b7937a606 · outbound

This paper cites Towards efficient and scalable sharpness-aware minimization.

Meta Curvature-Aware Minimization for Domain Generalization Towards efficient and scalable sharpness-aware minimization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.951979Z

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Observation 7fd539f6-a6f2-47f5-915e-2f3b8fa914d9 · outbound

This paper cites Decoupled Weight Decay Regularization.

Meta Curvature-Aware Minimization for Domain Generalization Decoupled Weight Decay Regularization

Reference 47

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Source-reported events for the cited work

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Observation 3104d51d-fbed-4fbf-9b8d-e543357b866c · outbound

This paper cites Pac-bayesian model averaging.

Meta Curvature-Aware Minimization for Domain Generalization Pac-bayesian model averaging

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.941356Z

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Observation 797ea6ab-eac0-4deb-8dc6-eda2170262e4 · outbound

This paper cites A survey on modeling and improving relia- bility of dnn algorithms and accelerators.

Meta Curvature-Aware Minimization for Domain Generalization A survey on modeling and improving relia- bility of dnn algorithms and accelerators

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.931150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f70330e-59ad-4e50-850d-a832df7f8f1a · outbound

This paper cites Domain generalization via invariant fea- ture representation.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization via invariant fea- ture representation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.919952Z

Source-reported events for the cited work

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Observation 5e14e502-97eb-45d7-9a39-cf2e6b2cb638 · outbound

This paper cites Domain generaliza- tion via ensemble stacking for face presentation attack detec- tion.

Meta Curvature-Aware Minimization for Domain Generalization Domain generaliza- tion via ensemble stacking for face presentation attack detec- tion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.909049Z

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Observation d65df292-7d4e-4759-8886-46502bbae0d6 · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization Reducing domain gap by reduc- ing style bias

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.897862Z

Source-reported events for the cited work

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Observation 0cb20140-15cb-46b5-a0e4-c6de289a9117 · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization A method for solving the convex program- ming problem with convergence rate o (1/k2)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.887070Z

Source-reported events for the cited work

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Observation e58ac36b-fdca-466d-be67-e41ecb98c013 · outbound

This paper cites Multi-view domain general- ization for visual recognition.

Meta Curvature-Aware Minimization for Domain Generalization Multi-view domain general- ization for visual recognition

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.877455Z

Source-reported events for the cited work

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Observation ca154410-8d36-4774-a850-3155916cd41f · outbound

This paper cites Numerical optimiza- tion.

Meta Curvature-Aware Minimization for Domain Generalization Numerical optimiza- tion

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.867627Z

Source-reported events for the cited work

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Observation 2a0418b0-062e-400b-a063-0722cb3845ac · outbound

This paper cites Learning expla- nations that are hard to vary.

Meta Curvature-Aware Minimization for Domain Generalization Learning expla- nations that are hard to vary

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.857585Z

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Observation 5ec7d387-5d8a-49f1-a4f5-6b365ce89bd6 · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization Moment matching for multi-source domain adaptation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T14:52:52.353658Z

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Observation 5acb7046-ea07-4d60-b653-bc0f9eb2e902 · outbound

This paper cites Domain agnostic learning with disentangled rep- resentations.

Meta Curvature-Aware Minimization for Domain Generalization Domain agnostic learning with disentangled rep- resentations

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.840892Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3216f4e-5350-4c4e-b174-779cf331c0c3 · outbound

This paper cites Ef- ficient domain generalization via common-specific low-rank decomposition.

Meta Curvature-Aware Minimization for Domain Generalization Ef- ficient domain generalization via common-specific low-rank decomposition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.830851Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 156da635-5e65-4167-bd6e-667a6b9730f9 · outbound

This paper cites Fishr: Invariant gradient variances for out-of-distribution generalization.

Meta Curvature-Aware Minimization for Domain Generalization Fishr: Invariant gradient variances for out-of-distribution generalization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.819398Z

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Observation b0507052-7f0d-4446-bb3f-f2a776e27a09 · outbound

This paper cites Imagenet large scale visual recognition challenge.IJCV, 115:211–252,.

Meta Curvature-Aware Minimization for Domain Generalization Imagenet large scale visual recognition challenge.IJCV, 115:211–252,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T14:52:52.366642Z

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Observation d24d03a2-9bd5-406f-bbcb-914359803ae8 · outbound

This paper cites Distributionally robust neural networks.

Meta Curvature-Aware Minimization for Domain Generalization Distributionally robust neural networks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.802401Z

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Observation 16a85089-2741-4ccd-9d65-e3571b17c4d4 · outbound

This paper cites Learning from synthetic data: Addressing domain shift for semantic segmentation.

Meta Curvature-Aware Minimization for Domain Generalization Learning from synthetic data: Addressing domain shift for semantic segmentation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.791922Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c90b3220-5af5-4f57-9794-4e7820f8f4ee · outbound

This paper cites SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization.

Meta Curvature-Aware Minimization for Domain Generalization SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T14:52:52.376204Z

Source-reported events for the cited work

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Observation 0625ed94-e679-4292-beb9-7ef8d0659aeb · outbound

This paper cites Multi-adversarial discriminative deep domain generalization for face presentation attack detection.

Meta Curvature-Aware Minimization for Domain Generalization Multi-adversarial discriminative deep domain generalization for face presentation attack detection

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.781111Z

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Observation 5fd784fd-70e7-4c34-ada1-52a351fa8007 · outbound

This paper cites Gradient matching for domain generalization.

Meta Curvature-Aware Minimization for Domain Generalization Gradient matching for domain generalization

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.770587Z

Source-reported events for the cited work

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Observation b97d992f-7f3d-4b8a-9194-d692541fab41 · outbound

This paper cites Deep coral: Correlation alignment for deep domain adaptation.

Meta Curvature-Aware Minimization for Domain Generalization Deep coral: Correlation alignment for deep domain adaptation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T14:52:52.387382Z

Source-reported events for the cited work

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Observation 10eed3d9-ec20-4ba0-9bb4-5a6944d2b8e7 · outbound

This paper cites Rethinking domain generalization for face anti- spoofing: Separability and alignment.

Meta Curvature-Aware Minimization for Domain Generalization Rethinking domain generalization for face anti- spoofing: Separability and alignment

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.753020Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dcb746ab-87c4-4e5f-8b27-af57c8eeb0dd · outbound

This paper cites Statistical learning theory.

Meta Curvature-Aware Minimization for Domain Generalization Statistical learning theory

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.742545Z

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Observation a0fa7080-6c35-4a41-b673-36da15e01b42 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

Meta Curvature-Aware Minimization for Domain Generalization Deep hashing network for unsupervised domain adaptation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.732168Z

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Observation 0709fd73-b299-4235-b09c-f93b2cf23d14 · outbound

This paper cites Cross-domain face presentation attack detection via multi- domain disentangled representation learning.

Meta Curvature-Aware Minimization for Domain Generalization Cross-domain face presentation attack detection via multi- domain disentangled representation learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.722271Z

Source-reported events for the cited work

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Observation 565cef6c-bd74-4b52-9b33-b79c2f39b336 · outbound

This paper cites Generalizing to unseen domains: A survey on do- main generalization.

Meta Curvature-Aware Minimization for Domain Generalization Generalizing to unseen domains: A survey on do- main generalization

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.712531Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 133b4d15-135c-4344-a788-1ce92af13c09 · outbound

This paper cites Inter-class and inter- domain semantic augmentation for domain generalization.

Meta Curvature-Aware Minimization for Domain Generalization Inter-class and inter- domain semantic augmentation for domain generalization

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.702609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1633d30-fbc0-4a24-8dd5-f78978a00032 · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization Sharpness-aware gradient matching for domain generaliza- tion

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.693120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65a934a2-06ae-4516-aeb7-1cac28e19e12 · outbound

This paper cites CR-SAM: Cur- vature regularized sharpness-aware minimization.

Meta Curvature-Aware Minimization for Domain Generalization CR-SAM: Cur- vature regularized sharpness-aware minimization

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.682338Z

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Observation f9cbfe86-2b16-49a7-832f-af56beb295ea · outbound

This paper cites Adversarial domain adaptation with domain mixup.

Meta Curvature-Aware Minimization for Domain Generalization Adversarial domain adaptation with domain mixup

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.672518Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40b67b7e-8807-4ff0-ade8-12a6beae9993 · outbound

This paper cites Pyhessian: Neural networks through the lens of the hessian.

Meta Curvature-Aware Minimization for Domain Generalization Pyhessian: Neural networks through the lens of the hessian

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.662693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0092b16-f32b-43e6-bc68-a5598b4144ac · outbound

This paper cites Adahessian: An adap- tive second order optimizer for machine learning.

Meta Curvature-Aware Minimization for Domain Generalization Adahessian: An adap- tive second order optimizer for machine learning

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.652001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31c2903e-543b-4db2-bc50-851c1dca5cc4 · outbound

This paper cites Adaptive methods for nonconvex optimization.

Meta Curvature-Aware Minimization for Domain Generalization Adaptive methods for nonconvex optimization

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.641797Z

Source-reported events for the cited work

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Observation a59525d2-81a6-4574-b795-e979b24d2782 · outbound

This paper cites Adaptive Risk Minimization: Learning to Adapt to Domain Shift.

Meta Curvature-Aware Minimization for Domain Generalization Adaptive Risk Minimization: Learning to Adapt to Domain Shift

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T14:52:52.433838Z

Source-reported events for the cited work

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Observation 530a2b29-2eb4-48e1-8dfc-76c3869e5004 · outbound

This paper cites Flatness-aware minimization for domain generalization.

Meta Curvature-Aware Minimization for Domain Generalization Flatness-aware minimization for domain generalization

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.631513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ccc9f8b-a785-4730-8d5b-7123850f6ff4 · outbound

This paper cites Gradient norm aware minimization seeks first-order flatness and improves generalization.

Meta Curvature-Aware Minimization for Domain Generalization Gradient norm aware minimization seeks first-order flatness and improves generalization

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.621083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c78b31a-6e5c-4ebb-b840-6e6687efac36 · outbound

This paper cites Learning to generate novel domains for domain gen- eralization.

Meta Curvature-Aware Minimization for Domain Generalization Learning to generate novel domains for domain gen- eralization

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.610612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f37760d0-f1f3-4643-8e55-aef25b0ec0ed · outbound

This paper cites Do- main generalization with mixstyle.

Meta Curvature-Aware Minimization for Domain Generalization Do- main generalization with mixstyle

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.599737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6bbd0812-0061-4e64-9173-2703d93f044b · outbound

This paper cites Do- main adaptive ensemble learning.

Meta Curvature-Aware Minimization for Domain Generalization Do- main adaptive ensemble learning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.589250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 205019b5-f32f-42be-9d8e-0e597bebbb06 · outbound

This paper cites Domain generalization: A survey.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization: A survey

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.579117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd202653-796b-46f4-830a-1a6cb9850468 · outbound

This paper cites Adabelief optimizer: Adapting stepsizes by the belief in observed gradients.

Meta Curvature-Aware Minimization for Domain Generalization Adabelief optimizer: Adapting stepsizes by the belief in observed gradients

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.569040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bcbafe6-c6f2-4e99-97ee-f52572ff85f6 · outbound

This paper cites Surrogate gap minimization improves sharpness- aware training.

Meta Curvature-Aware Minimization for Domain Generalization Surrogate gap minimization improves sharpness- aware training

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:52:52.559055Z

Source-reported events for the cited work

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