TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram | Paper Citation Record

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This paper cites Self-supervised learning for domain adaptation on point clouds.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Self-supervised learning for domain adaptation on point clouds

Reference 1

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This paper cites Aurenhammer.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Aurenhammer

Reference 2

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This paper cites V oronoi diagrams—a survey of a fundamental geometric data structure.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram V oronoi diagrams—a survey of a fundamental geometric data structure

Reference 3

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This paper cites Baraniuk.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Baraniuk

Reference 4

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This paper cites The geometry of deep networks: Power diagram subdivision.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram The geometry of deep networks: Power diagram subdivision

Reference 5

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This paper cites Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation

Reference 6

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This paper cites Chen, Ziyun Huang, Yangwei Liu, and Jinhui Xu.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Chen, Ziyun Huang, Yangwei Liu, and Jinhui Xu

Reference 7

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This paper cites Chen, Ziyun Huang, Yangwei Liu, and Jinhui Xu.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Chen, Ziyun Huang, Yangwei Liu, and Jinhui Xu

Reference 8

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This paper cites Ac- tion segmentation with joint self-supervised temporal domain adaptation.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Ac- tion segmentation with joint self-supervised temporal domain adaptation

Reference 9

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This paper cites Self-ensembling for visual domain adaptation.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Self-ensembling for visual domain adaptation

Reference 10

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This paper cites Test-time training with masked autoencoders.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Test-time training with masked autoencoders

Reference 11

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This paper cites Domain- adversarial training of neural networks.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Domain- adversarial training of neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:51.153427Z

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This paper cites NOTE: Robust continual test-time adaptation against temporal cor- relation.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram NOTE: Robust continual test-time adaptation against temporal cor- relation

Reference 13

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This paper cites Generative adver- sarial nets.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Generative adver- sarial nets

Reference 14

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This paper cites Test-time adaptation via conjugate pseudo-labels.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Test-time adaptation via conjugate pseudo-labels

Reference 15

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This paper cites Test-time training on nearest neighbors for large lan- guage models.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Test-time training on nearest neighbors for large lan- guage models

Reference 16

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This paper cites Deep residual learn- ing for image recognition.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Deep residual learn- ing for image recognition

Reference 17

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This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 18

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This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 19

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This paper cites Denoising diffusion probabilistic models.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Denoising diffusion probabilistic models

Reference 20

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This paper cites Chen, and Jinhui Xu.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Chen, and Jinhui Xu

Reference 21

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This paper cites Influence-based voronoi diagrams of clusters.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Influence-based voronoi diagrams of clusters

Reference 22

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This paper cites Baraniuk.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Baraniuk

Reference 23

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Observation 68a1c778-b648-4521-8fb7-54c39fbe59a8 · outbound

This paper cites Test-time classifier adjustment module for model-agnostic domain generalization.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Test-time classifier adjustment module for model-agnostic domain generalization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:51.031936Z

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This paper cites Test-Time Adaptation via Self-Training with Nearest Neighbor Information.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Test-Time Adaptation via Self-Training with Nearest Neighbor Information

Reference 25

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This paper cites Rotograd: Gradient homogenization in multi- task learning.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Rotograd: Gradient homogenization in multi- task learning

Reference 26

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This paper cites Forkmerge: Mitigating negative transfer in auxiliary-task learning.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Forkmerge: Mitigating negative transfer in auxiliary-task learning

Reference 27

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This paper cites Deep adversarial attention alignment for unsupervised domain adaptation: the benefit of target expectation maximization.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Deep adversarial attention alignment for unsupervised domain adaptation: the benefit of target expectation maximization

Reference 28

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This paper cites Venkatesh Babu.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Venkatesh Babu

Reference 29

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Self-supervised label augmenta- tion via input transformations

Reference 30

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Domain generaliza- tion with adversarial feature learning

Reference 31

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation

Reference 32

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Source data- absent unsupervised domain adaptation through hypothesis transfer and label- ing transfer

Reference 33

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This paper cites Source-free domain adaptation for se- mantic segmentation.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Source-free domain adaptation for se- mantic segmentation

Reference 34

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This paper cites TTT++: When does self-supervised test- time training fail or thrive? In A.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram TTT++: When does self-supervised test- time training fail or thrive? In A

Reference 35

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This paper cites Few-shot learning as cluster-induced voronoi diagrams: A geometric approach, 2022.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Few-shot learning as cluster-induced voronoi diagrams: A geometric approach, 2022

Reference 36

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This paper cites Progressive voronoi diagram subdivision enables accurate data-free class-incremental learning.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Progressive voronoi diagram subdivision enables accurate data-free class-incremental learning

Reference 37

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Unresolved cited work

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram MNIST-C: A Robustness Benchmark for Computer Vision

Reference 39

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Efficient test-time model adaptation without forgetting

Reference 40

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This paper cites Towards stable test-time adaptation in dynamic wild world.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Towards stable test-time adaptation in dynamic wild world

Reference 41

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Un- supervised intra-domain adaptation for semantic segmentation through self- supervision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.851627Z

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram The Entropy Enigma: Success and Failure of Entropy Minimization

Reference 43

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This paper cites Improving robustness against common corruptions by covariate shift adaptation.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Improving robustness against common corruptions by covariate shift adaptation

Reference 44

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Unresolved cited work

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Unresolved cited work

Reference 46

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TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Sequence to sequence learning with neural networks

Reference 47

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This paper cites Discriminative adversarial domain adaptation.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Discriminative adversarial domain adaptation

Reference 48

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This paper cites Attention is all you need.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Attention is all you need

Reference 49

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This paper cites Nouvelles applications des param `etres continus `a la th ´eorie des formes quadratiques.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Nouvelles applications des param `etres continus `a la th ´eorie des formes quadratiques

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.773657Z

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Observation 96154a46-6e4d-475a-82d4-ceefac6946a4 · outbound

This paper cites Nouvelles applications des param `etres continus `a la th ´eorie des formes quadratiques.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Nouvelles applications des param `etres continus `a la th ´eorie des formes quadratiques

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.760291Z

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Observation d7f1e650-35a0-4d5f-a1c8-8c366bacdc9f · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Tent: Fully test-time adaptation by entropy minimization

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.748268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df3f8165-f727-4a5f-9c09-c6ac260a9edf · outbound

This paper cites Continual test-time do- main adaptation.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Continual test-time do- main adaptation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.736044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22a8b458-1f9f-4915-b80f-1af2b98421ca · outbound

This paper cites A MAX-AFFINE SPLINE PERSPECTIVE OF RECURRENT NEURAL NETWORKS.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram A MAX-AFFINE SPLINE PERSPECTIVE OF RECURRENT NEURAL NETWORKS

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.723640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b6bd4965-5819-4a9b-a200-5798d6531858 · outbound

This paper cites Exploiting the intrinsic neighborhood structure for source-free domain adaptation.Advances in neural information processing systems, 34:29393–29405, 2021.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Exploiting the intrinsic neighborhood structure for source-free domain adaptation.Advances in neural information processing systems, 34:29393–29405, 2021

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.710088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23358ace-8d3b-44bb-987f-3e3b63e79c5d · outbound

This paper cites Trust your good friends: Source-free domain adaptation by reciprocal neighborhood clustering.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Trust your good friends: Source-free domain adaptation by reciprocal neighborhood clustering

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.696558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7a217830-53a0-4b6e-b0f5-174edf986449 · outbound

This paper cites Max-affine spline insights into deep network pruning.Transactions on Machine Learning Research, 2022.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Max-affine spline insights into deep network pruning.Transactions on Machine Learning Research, 2022

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.685813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e003895-f1c7-4eb8-b872-d9649ca26d66 · outbound

This paper cites Wide Residual Networks.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Wide Residual Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T18:27:50.518973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2403990-4512-47a6-894f-d699297c1b53 · outbound

This paper cites Zhang, S.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Zhang, S

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.674309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 566883a8-b706-4c11-84fe-f62b5895bba8 · outbound

This paper cites AdaNPC: Exploring non-parametric classifier for test-time adaptation.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram AdaNPC: Exploring non-parametric classifier for test-time adaptation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:50.662494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 26cf15f5-9d4d-4a3e-a3bc-bf94b3612b79 · outbound

This paper cites bike”, “bus.

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram bike”, “bus

Reference 61

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T18:27:50.647756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers