Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation | Paper Citation Record

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This paper cites Deep learning in static, metric-based bug prediction,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Deep learning in static, metric-based bug prediction,

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This paper cites A digital liquid stat e machine with biologically inspired learning and its application to spee ch recognition,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation A digital liquid stat e machine with biologically inspired learning and its application to spee ch recognition,

Reference 2

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This paper cites Twitter mining for disa ster response: A domain adaptation approach.,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Twitter mining for disa ster response: A domain adaptation approach.,

Reference 3

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This paper cites Conditional Adversarial Domain Adaptation.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Conditional Adversarial Domain Adaptation

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This paper cites Learning transfe rable features with deep adaptation networks,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Learning transfe rable features with deep adaptation networks,

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This paper cites Analysis of representations for domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Analysis of representations for domain adaptation,

Reference 6

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This paper cites A theory of learning from different domains,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation A theory of learning from different domains,

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This paper cites Homm: Higher-order moment matching for unsupervised doma in adap- tation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Homm: Higher-order moment matching for unsupervised doma in adap- tation,

Reference 8

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This paper cites M oment matching for multi-source domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation M oment matching for multi-source domain adaptation,

Reference 9

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This paper cites Robust unsupervised domain adapta tion for neural networks via moment alignment,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Robust unsupervised domain adapta tion for neural networks via moment alignment,

Reference 10

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This paper cites A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation

Reference 11

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This paper cites Robust loc al preserving and global aligning network for adversarial domain adaptat ion,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Robust loc al preserving and global aligning network for adversarial domain adaptat ion,

Reference 12

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This paper cites Adversarial Dropout Regularization.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Adversarial Dropout Regularization

Reference 13

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This paper cites Advers arial discrim- inative domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Advers arial discrim- inative domain adaptation,

Reference 14

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This paper cites Unsupervised domain adapt ation via structurally regularized deep clustering,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Unsupervised domain adapt ation via structurally regularized deep clustering,

Reference 15

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This paper cites Do we really need to access t he source data ? source hypothesis transfer for unsupervised domain a daptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Do we really need to access t he source data ? source hypothesis transfer for unsupervised domain a daptation,

Reference 16

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This paper cites Source data- absent unsupervised domain adaptation through hypothesis transf er and labeling transfer,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Source data- absent unsupervised domain adaptation through hypothesis transf er and labeling transfer,

Reference 17

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This paper cites Balancing discrimina bility and transferability for source-free domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Balancing discrimina bility and transferability for source-free domain adaptation,

Reference 18

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This paper cites Source-fre e unsu- pervised domain adaptation with sample transport learning ,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Source-fre e unsu- pervised domain adaptation with sample transport learning ,

Reference 19

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This paper cites Exploiting the intrinsic neighborhood structure for source-free domain a daptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Exploiting the intrinsic neighborhood structure for source-free domain a daptation,

Reference 20

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This paper cites General- ized source-free domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation General- ized source-free domain adaptation,

Reference 21

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This paper cites Attracting and dispersing: A simple approach for source-free domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Attracting and dispersing: A simple approach for source-free domain adaptation,

Reference 22

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

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation OneRing: A Simple Method for Source-free Open-partial Domain Adaptation

Reference 23

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This paper cites Predictive coding in the vis ual cortex: a functional interpretation of some extra-classical recept ive-ﬁeld effects,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Predictive coding in the vis ual cortex: a functional interpretation of some extra-classical recept ive-ﬁeld effects,

Reference 24

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Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation A review of predictive coding algorit hms,

Reference 25

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This paper cites Deep transfer learning with joint adaptation networks,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Deep transfer learning with joint adaptation networks,

Reference 26

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This paper cites Bridging theor y and algo- rithm for domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Bridging theor y and algo- rithm for domain adaptation,

Reference 27

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Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Larger norm more transf erable: An adaptive feature norm approach for unsupervised domain ada ptation,

Reference 28

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Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Unsupervised domain adapta tion by backpropagation,

Reference 29

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This paper cites Deep cocktail n etwork: Multi-source unsupervised domain adaptation with categor y shift,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Deep cocktail n etwork: Multi-source unsupervised domain adaptation with categor y shift,

Reference 30

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This paper cites Aligning domain-speciﬁ c distribution and classiﬁer for cross-domain classiﬁcation from multipl e sources,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Aligning domain-speciﬁ c distribution and classiﬁer for cross-domain classiﬁcation from multipl e sources,

Reference 31

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This paper cites Stem: An approach to multi-source domain adaptation with guarant ees,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Stem: An approach to multi-source domain adaptation with guarant ees,

Reference 32

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Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Curr iculum manager for source selection in multi-source domain adaptation,

Reference 33

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Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Information-theoretic regula rization for multi-source domain adaptation,

Reference 34

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Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Y our classiﬁer can secretly sufﬁce multi-source domain adaptation,

Reference 35

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This paper cites Multi-source distilling domain ad aptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Multi-source distilling domain ad aptation,

Reference 36

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Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Multi-source contrib ution learning for domain adaptation,

Reference 37

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This paper cites Domain aggregat ion networks for multi-source domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Domain aggregat ion networks for multi-source domain adaptation,

Reference 38

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Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Tmda: Task-speciﬁc m ulti-source domain adaptation via clustering embedded adversarial tra ining,

Reference 39

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This paper cites Model adaptation: Historical contrastive learning for unsupervised domain adaptation w ithout source data,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Model adaptation: Historical contrastive learning for unsupervised domain adaptation w ithout source data,

Reference 40

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This paper cites Adaptive adversarial netw ork for source- free domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Adaptive adversarial netw ork for source- free domain adaptation,

Reference 41

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This paper cites Model adapt ation: Unsupervised domain adaptation without source data,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Model adapt ation: Unsupervised domain adaptation without source data,

Reference 42

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Observation b8c6837c-8e5d-4227-a4ce-baa7c32709f4 · outbound

This paper cites Do main im- pression: A source data free domain adaptation method,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Do main im- pression: A source data free domain adaptation method,

Reference 43

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Observation ff079cd5-cd44-4d37-9d16-0ee3810e54e0 · outbound

This paper cites Domain adaptive vi deo segmentation via temporal consistency regularization,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Domain adaptive vi deo segmentation via temporal consistency regularization,

Reference 44

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Observation ce1c9124-e4d7-4914-97aa-c85c42ec4353 · outbound

This paper cites Alleviating s tyle sensitivity then adapting: Source-free domain adaptation for medical i mage seg- mentation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Alleviating s tyle sensitivity then adapting: Source-free domain adaptation for medical i mage seg- mentation,

Reference 45

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Observation 7b62335f-b3e9-4c7c-9151-f3cd64cbd51c · outbound

This paper cites Source free domain adaptation for medical image segmentation with fourier style mining,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Source free domain adaptation for medical image segmentation with fourier style mining,

Reference 46

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This paper cites Unsupervised multi-source domain adaptation without access to source data,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Unsupervised multi-source domain adaptation without access to source data,

Reference 47

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Observation 5d0a3e93-c27b-4775-ac03-c4eab5d004b6 · outbound

This paper cites Conﬁdent anc hor-induced multi-source free domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Conﬁdent anc hor-induced multi-source free domain adaptation,

Reference 48

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Observation 8be3671a-7060-43b5-ab4e-49dbc6d489a9 · outbound

This paper cites Evidentia l multi- source-free unsupervised domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Evidentia l multi- source-free unsupervised domain adaptation,

Reference 49

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This paper cites On balancing bias and v ariance in unsupervised multi-source-free domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation On balancing bias and v ariance in unsupervised multi-source-free domain adaptation,

Reference 50

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This paper cites Target-discri minability- induced multi-source-free domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Target-discri minability- induced multi-source-free domain adaptation,

Reference 51

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This paper cites Discriminability and transferability estimation: a baye sian source im- portance estimation approach for multi-source-free domai n adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Discriminability and transferability estimation: a baye sian source im- portance estimation approach for multi-source-free domai n adaptation,

Reference 52

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Observation f6a8dec5-08ad-492d-a0ee-00779e3fa8fe · outbound

This paper cites Adapting visual category models to new domains,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Adapting visual category models to new domains,

Reference 53

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Observation 39fc7cc4-9e51-4a24-872b-f3d5f9115341 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Deep hashing network for unsupervised domain adaptation,

Reference 54

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Observation 4e719294-b2b2-4186-8083-b8b0c51fdfc9 · outbound

This paper cites Unbiased metric lear ning: On the utilization of multiple datasets and web images for softeni ng bias,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Unbiased metric lear ning: On the utilization of multiple datasets and web images for softeni ng bias,

Reference 55

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Observation 26ab70cb-b72a-4d03-9b65-7e395827f6ea · outbound

This paper cites Recognition in ter ra incognita,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Recognition in ter ra incognita,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:54:06.015733Z

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This paper cites In Search of Lost Domain Generalization.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation In Search of Lost Domain Generalization

Reference 57

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This paper cites Deep residual learni ng for image recognition,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Deep residual learni ng for image recognition,

Reference 58

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This paper cites Domain-adversaria l training of neural networks,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Domain-adversaria l training of neural networks,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:54:05.987695Z

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Observation be98376d-b5dd-4259-b273-3140c1b19ccc · outbound

This paper cites Maximu m classiﬁer discrepancy for unsupervised domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Maximu m classiﬁer discrepancy for unsupervised domain adaptation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:54:05.968393Z

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Observation 30a6a468-d388-49a7-afa3-667b9cd29202 · outbound

This paper cites Minimum class conf usion for versatile domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Minimum class conf usion for versatile domain adaptation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:54:05.949870Z

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Observation 604e7ebb-baa1-4e05-92e7-a1d9b05df344 · outbound

This paper cites Unc ertainty- induced transferability representation for source-free u nsupervised do- main adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Unc ertainty- induced transferability representation for source-free u nsupervised do- main adaptation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:54:05.933719Z

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This paper cites Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

Reference 63

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This paper cites Learning to combine: Knowl- edge aggregation for multi-source domain adaptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Learning to combine: Knowl- edge aggregation for multi-source domain adaptation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:54:05.915374Z

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Observation 35e35dc9-209e-4707-95b0-ba25d45118e0 · outbound

This paper cites T-svdnet: Explor ing high- order prototypical correlations for multi-source domain a daptation,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation T-svdnet: Explor ing high- order prototypical correlations for multi-source domain a daptation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:54:05.898101Z

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Observation c6eb1833-733a-4152-8676-c37511ab1961 · outbound

This paper cites Most: Multi-source domain adaptation via optimal transport for s tudent-teacher learning,.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation Most: Multi-source domain adaptation via optimal transport for s tudent-teacher learning,

Reference 66

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