Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation | Paper Citation Record

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation , " * write output.state after.block = add.period write newline

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation write newline

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 6

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 7

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This paper cites S.; Doveh, S.; Kim, D.; Panda, R.; Varol, G.; Oliva, A.; Ordonez, V.; Feris, R.; et al.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation S.; Doveh, S.; Kim, D.; Panda, R.; Varol, G.; Oliva, A.; Ordonez, V.; Feris, R.; et al

Reference 8

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 9

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 10

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 11

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 12

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This paper cites Universal Domain Adaptation from Foundation Models: A Baseline Study.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Universal Domain Adaptation from Foundation Models: A Baseline Study

Reference 13

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 14

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 17

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 18

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 19

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Reference 20

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Reference 21

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 22

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Reference 23

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation LoRA: Low-Rank Adaptation of Large Language Models

Reference 24

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This paper cites S.; and Savakis, A.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation S.; and Savakis, A

Reference 25

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This paper cites H.; Ji, M.; Song, K.; and Moon, I.-C.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation H.; Ji, M.; Song, K.; and Moon, I.-C

Reference 26

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Reference 27

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 28

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This paper cites Probabilistic Contrastive Learning for Domain Adaptation.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Probabilistic Contrastive Learning for Domain Adaptation

Reference 29

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 30

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This paper cites H.; Zhang, P.; Zhang, H.; Yang, J.; Li, C.; Zhong, Y.; Wang, L.; Yuan, L.; Zhang, L.; Hwang, J.-N.; et al.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation H.; Zhang, P.; Zhang, H.; Yang, J.; Li, C.; Zhong, Y.; Wang, L.; Yuan, L.; Zhang, L.; Hwang, J.-N.; et al

Reference 31

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Image Clustering with External Guidance

Reference 32

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 33

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 34

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This paper cites COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation

Reference 35

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 36

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 37

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This paper cites J.; Xie, X.; and Lai, J.-H.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation J.; Xie, X.; and Lai, J.-H

Reference 38

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Normalized Mutual Information to evaluate overlapping community finding algorithms

Reference 39

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 40

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 41

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This paper cites J.; and Yang, Q.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation J.; and Yang, Q

Reference 42

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 43

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 44

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Observation 02e7329f-fd59-46d7-b933-e189ef2fcf0b · outbound

This paper cites LEAD: Learning Decomposition for Source-free Universal Domain Adaptation.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

Reference 45

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Observation 6d1d3d6a-879c-4b40-9fbb-73b4ac45e4b4 · outbound

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 46

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 47

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 48

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Observation a8bfcae7-8f38-413c-bb79-67ebf72b3abd · outbound

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 49

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 50

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Observation 21410772-ee24-4463-9281-44789f52730f · outbound

This paper cites an unresolved cited work.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 51

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Observation 3643e94e-c360-4b73-8469-0c13f7ea4334 · outbound

This paper cites S.; Cascante-Bonilla, P.; Arbelle, A.; Kim, D.; Panda, R.; Cox, D.; Yang, D.; Kira, Z.; Feris, R.; and Karlinsky, L.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation S.; Cascante-Bonilla, P.; Arbelle, A.; Kim, D.; Panda, R.; Cox, D.; Yang, D.; Kira, Z.; Feris, R.; and Karlinsky, L

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:31.270254Z

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Observation 01087853-55e5-4176-a830-3e16bef04341 · outbound

This paper cites N.; Kaiser, .; and Polosukhin, I.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation N.; Kaiser, .; and Polosukhin, I

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:31.247289Z

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This paper cites Open-Set Recognition: a Good Closed-Set Classifier is All You Need?.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Open-Set Recognition: a Good Closed-Set Classifier is All You Need?

Reference 54

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:06:31.222987Z

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Observation db29408b-f05f-4c30-ba70-76f5aca9f157 · outbound

This paper cites an unresolved cited work.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 56

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Observation 8eca0bc8-8ce0-41f9-8508-987deaaa8ebe · outbound

This paper cites OneRing: A Simple Method for Source-free Open-partial Domain Adaptation.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation OneRing: A Simple Method for Source-free Open-partial Domain Adaptation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:06:30.751567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7474f0fe-0d7a-4030-81fd-dcd40343605c · outbound

This paper cites FILIP: Fine-grained Interactive Language-Image Pre-Training.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:06:30.756023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5466ef2e-4a7f-4a88-8169-17e9fe45fad5 · outbound

This paper cites an unresolved cited work.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:06:31.185329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23482c20-3543-4e62-bf57-6fe2b484b5b9 · outbound

This paper cites Open-Set Domain Adaptation with Visual-Language Foundation Models.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Open-Set Domain Adaptation with Visual-Language Foundation Models

Reference 60

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Source-reported events for the cited work

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Observation 64d80bab-3f1f-4340-a2eb-7b2182cb4671 · outbound

This paper cites an unresolved cited work.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:06:31.166721Z

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Observation 3c40e90e-41ac-42f2-9eb0-6bc911de9d97 · outbound

This paper cites an unresolved cited work.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T11:06:30.774680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8476df96-719b-41c2-bbb8-415bff12c078 · outbound

This paper cites Low-confidence Samples Matter for Domain Adaptation.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Low-confidence Samples Matter for Domain Adaptation

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:06:30.839693Z

Source-reported events for the cited work

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Observation 0a7e628d-32e5-42a5-8343-8572e274fab6 · outbound

This paper cites an unresolved cited work.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 64

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Observation 3244dd0a-21ef-46e7-ad84-a7f6b95c8923 · outbound

This paper cites an unresolved cited work.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:06:31.120183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35c0ae58-0280-4c1f-b6b9-ce05d1b93a22 · outbound

This paper cites an unresolved cited work.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:06:31.103009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers