On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation | Paper Citation Record

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This paper cites Domain-adversarial training of neural networks,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Domain-adversarial training of neural networks,

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This paper cites Unsupervised multi-class domain adaptation: Theory, algorithms, and practice,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unsupervised multi-class domain adaptation: Theory, algorithms, and practice,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unified optimal transport framework for universal domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Transvqa: Transferable vector quantization alignment for unsupervised domain adaptation,

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This paper cites Learning transferable conceptual prototypes for interpretable unsupervised domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Learning transferable conceptual prototypes for interpretable unsupervised domain adaptation,

Reference 5

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Wasserstein distance guided representation learning for domain adaptation,

Reference 6

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Wasserstein generative adversarial networks,

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This paper cites Bridging theory and algorithm for domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Bridging theory and algorithm for domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Probability- polarized optimal transport for unsupervised domain adaptation,

Reference 9

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This paper cites Prompt-based distribution alignment for unsupervised domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Prompt-based distribution alignment for unsupervised domain adaptation,

Reference 10

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unsupervised and semi-supervised robust spherical space domain adaptation,

Reference 11

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This paper cites Pseudo-calibration: Improving predictive uncertainty estimation in unsupervised domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Pseudo-calibration: Improving predictive uncertainty estimation in unsupervised domain adaptation,

Reference 12

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This paper cites Class-incremental unsupervised domain adaptation via pseudo-label distillation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Class-incremental unsupervised domain adaptation via pseudo-label distillation,

Reference 13

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This paper cites A versatile framework for unsupervised domain adaptation based on instance weighting,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation A versatile framework for unsupervised domain adaptation based on instance weighting,

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This paper cites Where and how to transfer: Knowledge aggregation-induced transferability perception for unsupervised domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Where and how to transfer: Knowledge aggregation-induced transferability perception for unsupervised domain adaptation,

Reference 15

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This paper cites Contrastive adap- tation network for unsupervised domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Contrastive adap- tation network for unsupervised domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Robust local preserving and global aligning network for adversarial domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation,

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This paper cites Representation Learning with Contrastive Predictive Coding.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Representation Learning with Contrastive Predictive Coding

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This paper cites A simple framework for contrastive learning of visual representations,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation A simple framework for contrastive learning of visual representations,

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This paper cites Intriguing Properties of Contrastive Losses.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Intriguing Properties of Contrastive Losses

Reference 21

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This paper cites Understanding self-training for gradual domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Understanding self-training for gradual domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Margin-aware adversarial domain adaptation with optimal transport,

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This paper cites Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Gradually vanishing bridge for adversarial domain adaptation,

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This paper cites Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

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This paper cites Heuristic Domain Adaptation.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Heuristic Domain Adaptation

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unsupervised domain adaptation with hierarchical gradient synchronization,

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This paper cites Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unsupervised domain adaptation via structurally regularized deep clustering,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation A kernel two-sample test,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Deep Domain Confusion: Maximizing for Domain Invariance

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Return of frustratingly easy domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unsupervised domain adaptation based on source-guided discrepancy,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Sliced wasserstein discrepancy for unsupervised domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Domain adaptation with asymmetrically-relaxed distribution alignment,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Reliable weighted optimal transport for unsupervised domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Enhanced transport distance for unsupervised domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Transferability vs. discriminability: Batch spectral penalization for adversarial domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Gradient harmonization in unsuper- vised domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Cycle self-training for domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Domain Adaptation: Learning Bounds and Algorithms

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation A theory of learning from different domains,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation New analysis and algorithm for learning with drifting distributions,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation A pac-bayesian approach for domain adaptation with specialization to linear classifiers,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Adaptation algorithm and theory based on generalized discrepancy,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Theoretical analysis of domain adaptation with optimal transport,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation On learn- ing invariant representations for domain adaptation,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation The information bottleneck method

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation An information theoretic framework for multi-view learning,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation A Survey on Multi-view Learning

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Self-supervised Learning from a Multi-view Perspective

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unresolved cited work

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Representation learning: A review and new perspectives,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Learning deep features for discriminative localization,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Focal Loss for Dense Object Detection

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Efficient Estimation of Word Representations in Vector Space

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Earth mover’s distances on discrete surfaces,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation The earth mover’s distance as a metric for image retrieval,

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On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Transport information geometry I: Riemannian calculus on probability simplex

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Observation 70ed45be-3f8c-438c-8cd8-d0b6d9c5d73b · outbound

This paper cites Wasserstein of wasserstein loss for learning generative models,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Wasserstein of wasserstein loss for learning generative models,

Reference 61

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Observation 9b007feb-fa2f-43cb-a754-d8dff797f607 · outbound

This paper cites Villaniet al.,Optimal transport: old and new.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Villaniet al.,Optimal transport: old and new

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:20.167019Z

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Observation bfd9ae88-1fe4-4378-b128-349203563e48 · outbound

This paper cites Improved training of wasserstein gans,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Improved training of wasserstein gans,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:20.234153Z

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Observation 9b94e0ef-cc73-482a-9cd8-9ce86974fd62 · outbound

This paper cites On the regularization of wasserstein gans,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation On the regularization of wasserstein gans,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:39.099741Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e0ea0db1-17a8-4d4f-be9a-64c3f63bf498 · outbound

This paper cites Relations between entropy and error probability,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Relations between entropy and error probability,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:38.861364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cba2e500-e00f-48ed-8445-b62be5242a1f · outbound

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

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Deep hashing network for unsupervised domain adaptation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:38.652871Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f5c1925c-59db-42cd-9420-567eb541e36a · outbound

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

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Adapting visual category models to new domains,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:38.469170Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dc7884a4-d858-454d-9056-485eef89178d · outbound

This paper cites VisDA: The Visual Domain Adaptation Challenge.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:20.639518Z

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Observation ef4665bb-d4ae-4396-b0c2-b5bf4eff88f5 · outbound

This paper cites A database for handwritten text recognition research,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation A database for handwritten text recognition research,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:37.966648Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation abf2ade8-7fef-4c0d-8dc7-38d549df7fcd · outbound

This paper cites Reading digits in natural images with unsupervised feature learning,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Reading digits in natural images with unsupervised feature learning,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:37.709328Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0cab972-5d7a-4b07-8df7-35299107e81d · outbound

This paper cites Gradient-based learning applied to document recognition,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Gradient-based learning applied to document recognition,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:37.444856Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11847eff-8892-4ef0-aa86-40af4f620adb · outbound

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

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Moment matching for multi-source domain adaptation,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:37.182023Z

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Observation e12afb27-278b-45ef-829f-182731de0067 · outbound

This paper cites Deep residual learning for image recognition,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Deep residual learning for image recognition,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:21.047562Z

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Observation 24eceb98-99b8-467c-9800-62bd97b69ead · outbound

This paper cites Learning transferable features with deep adaptation networks,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Learning transferable features with deep adaptation networks,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:36.954292Z

Source-reported events for the cited work

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Observation 366dc9b5-3d82-4cc0-b374-ed05319ef507 · outbound

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

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Deep transfer learning with joint adaptation networks,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:21.193929Z

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Observation 99cfdae0-0550-45ee-871d-17782e3a826e · outbound

This paper cites Generate to adapt: Aligning domains using generative adversarial networks,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Generate to adapt: Aligning domains using generative adversarial networks,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:36.635674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 895f1bcd-747f-4906-84e3-6dea38055726 · outbound

This paper cites Adversarial discrimi- native domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Adversarial discrimi- native domain adaptation,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:36.464581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bdf0555f-290e-4247-bf68-1f5df4835e69 · outbound

This paper cites Unsupervised image-to-image transla- tion networks,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unsupervised image-to-image transla- tion networks,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:36.317603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 226e25c5-66a6-4ae4-a2de-38af3e49c818 · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Cycada: Cycle-consistent adversarial domain adaptation,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:36.134986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 636071f6-5307-40a5-8f7a-99639860e554 · outbound

This paper cites Conditional Adversarial Domain Adaptation.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Conditional Adversarial Domain Adaptation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:21.681661Z

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Observation 63472de2-4f4a-43ec-b5cc-4c0d6876bee7 · outbound

This paper cites Maximum classifier discrepancy for unsupervised domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Maximum classifier discrepancy for unsupervised domain adaptation,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:36.024291Z

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Observation b01131e1-f80e-4689-bb73-dd848a552d2f · outbound

This paper cites Bridging theory and algorithm for domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Bridging theory and algorithm for domain adaptation,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:35.894678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 419c29e1-5e79-4c4f-8208-4df51dc708d0 · outbound

This paper cites Invariant and transportable representations for anti-causal domain shifts,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Invariant and transportable representations for anti-causal domain shifts,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:35.768253Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ec771a2-aaf2-402b-bc67-8abd1714e880 · outbound

This paper cites Transporting causal mechanisms for unsupervised domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Transporting causal mechanisms for unsupervised domain adaptation,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:35.606886Z

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Observation f0dc2dd6-e687-44f4-a1bf-153704fe1a52 · outbound

This paper cites Connect, not collapse: Explaining contrastive learning for unsupervised domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Connect, not collapse: Explaining contrastive learning for unsupervised domain adaptation,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:35.482462Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c1a70b59-30dc-4077-898e-5e28d61b6707 · outbound

This paper cites Identifiability conditions for domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Identifiability conditions for domain adaptation,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:35.361878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17ef19a4-6640-4248-9a97-19c4c1937b40 · outbound

This paper cites Partial disentanglement for domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Partial disentanglement for domain adaptation,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:35.222855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 69b035a6-f214-4f8f-85d3-bd8744ad17ce · outbound

This paper cites Dcan: Dual channel-wise alignment networks for unsupervised scene adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Dcan: Dual channel-wise alignment networks for unsupervised scene adaptation,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:35.080962Z

Source-reported events for the cited work

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Observation 9efccba9-a412-4b83-9613-be7dd65e1547 · outbound

This paper cites Unsupervised domain adaptation for semantic segmentation via class-balanced self-training,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unsupervised domain adaptation for semantic segmentation via class-balanced self-training,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:34.927638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation adc2c211-fbb8-4528-8d99-410c2e7332a0 · outbound

This paper cites Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:34.734884Z

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Observation 654694d5-ea3c-43ad-8c78-de46fb024107 · outbound

This paper cites Semantic-transferable weakly- supervised endoscopic lesions segmentation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Semantic-transferable weakly- supervised endoscopic lesions segmentation,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:34.556569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d8587d87-10d8-4d16-abe6-ae83fafa59d0 · outbound

This paper cites Domain adaptation for semantic segmentation with maximum squares loss,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Domain adaptation for semantic segmentation with maximum squares loss,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:34.443577Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c096186-6826-48f3-9488-df065c8caa16 · outbound

This paper cites Constructing self-motivated pyramid curriculums for cross-domain semantic segmentation: A non- adversarial approach,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Constructing self-motivated pyramid curriculums for cross-domain semantic segmentation: A non- adversarial approach,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:34.229174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2b7cacaa-d361-4703-86d6-9fde7a04dd73 · outbound

This paper cites Contextual-relation consistent domain adaptation for semantic segmentation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Contextual-relation consistent domain adaptation for semantic segmentation,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:34.048457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6b9e06fb-3125-4960-bdc6-6abf1608caca · outbound

This paper cites Cscl: Critical semantic- consistent learning for unsupervised domain adaptation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Cscl: Critical semantic- consistent learning for unsupervised domain adaptation,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:33.791211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d25c845a-da95-4892-b3c5-802c6a794ee6 · outbound

This paper cites Learning from scale-invariant examples for domain adaptation in semantic segmentation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Learning from scale-invariant examples for domain adaptation in semantic segmentation,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:33.643766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9dca9ad7-0c57-4f6c-bb7b-47479e374dfb · outbound

This paper cites Classes matter: A fine-grained adversarial approach to cross-domain semantic segmentation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Classes matter: A fine-grained adversarial approach to cross-domain semantic segmentation,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:33.394440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc42c79d-7a61-4789-9b98-676050187d55 · outbound

This paper cites Unsupervised intra- domain adaptation for semantic segmentation through self-supervision,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Unsupervised intra- domain adaptation for semantic segmentation through self-supervision,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:33.093334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e7522d86-50ae-4799-8e2a-6111e8bf5f30 · outbound

This paper cites Cross-domain semantic segmenta- tion via domain-invariant interactive relation transfer,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation Cross-domain semantic segmenta- tion via domain-invariant interactive relation transfer,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:32.791741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 79082ff3-4ca4-4ca1-9d93-0c9bb215b6be · outbound

This paper cites What can be transferred: Unsupervised domain adaptation for endoscopic lesions segmentation,.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation What can be transferred: Unsupervised domain adaptation for endoscopic lesions segmentation,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:23:32.567992Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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