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Paper Citation Record · LEDGER

Domain Adaptation via Feature Refinement

As of 14 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 0 inbound Pith citation observations for arXiv:2508.16124.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.16124 v1

Coverage vector

measured 100 of 106 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:34:57.285774Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 106 outbound references displayed

  • verified exact1
  • verified fuzzy62
  • unresolved36
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a9ce385-4dc2-403c-b0d4-c0df2a10cf84 · outbound

This paper cites Yao, Xing Fan, and Chenlei Guo.

Domain Adaptation via Feature Refinement Yao, Xing Fan, and Chenlei Guo

Reference 1

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Observation 8e1f7217-5a19-49b5-bb6d-f5d8a929db40 · outbound

This paper cites Robustness to Augmentations as a Generalization metric.

Domain Adaptation via Feature Refinement Robustness to Augmentations as a Generalization metric

Reference 2

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Observation 95d4e327-cd5a-4255-b621-da8204fa3da5 · outbound

This paper cites an unresolved cited work.

Domain Adaptation via Feature Refinement Unresolved cited work

Reference 3

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Observation 9c2b7200-e3dd-4c86-b299-1ab215209df9 · outbound

This paper cites Improving model generalization by agreement of learned representations from data augmentation.

Domain Adaptation via Feature Refinement Improving model generalization by agreement of learned representations from data augmentation

Reference 4

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Observation cedb5c3b-5e91-48c2-822a-cceca0daa414 · outbound

This paper cites Balanya, Juan Maronas, and Daniel Ramos.

Domain Adaptation via Feature Refinement Balanya, Juan Maronas, and Daniel Ramos

Reference 5

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Observation 630251c2-d7df-4f99-b297-ab956b36f190 · outbound

This paper cites Mt3: Meta test-time training for self-supervised test-time adaption.

Domain Adaptation via Feature Refinement Mt3: Meta test-time training for self-supervised test-time adaption

Reference 6

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Observation 27ec8e95-6be1-43b8-a0a6-1dd3c21a0cf0 · outbound

This paper cites MINE: Mutual Information Neural Estimation.

Domain Adaptation via Feature Refinement MINE: Mutual Information Neural Estimation

Reference 7

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Observation 64bd3094-a801-4410-ae79-df1c152d7e8c · outbound

This paper cites Unsupervised pixel-level domain adaptation with generative adversarial networks.

Domain Adaptation via Feature Refinement Unsupervised pixel-level domain adaptation with generative adversarial networks

Reference 8

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Observation 4734909b-a95e-4aca-a79a-725f6a469682 · outbound

This paper cites Domain separation networks.

Domain Adaptation via Feature Refinement Domain separation networks

Reference 9

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Observation 59e58647-b6c6-4507-8aea-fae4e44767a1 · outbound

This paper cites Exploring simple siamese representation learning.

Domain Adaptation via Feature Refinement Exploring simple siamese representation learning

Reference 10

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Observation 6feb6af6-b933-41d3-b929-a9b30751d02f · outbound

This paper cites On robustness and transferability of convolutional neural networks.

Domain Adaptation via Feature Refinement On robustness and transferability of convolutional neural networks

Reference 11

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Observation 3b10ee82-11e6-47a0-b582-1d2ae6cb2af3 · outbound

This paper cites Marsden, and Bin Yang.

Domain Adaptation via Feature Refinement Marsden, and Bin Yang

Reference 12

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Observation d78ca7c5-f2d3-44f6-a865-1a9b99d15eb5 · outbound

This paper cites an unresolved cited work.

Domain Adaptation via Feature Refinement Unresolved cited work

Reference 13

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Observation add2cd35-ee23-43fd-8658-7ad0dee101ed · outbound

This paper cites an unresolved cited work.

Domain Adaptation via Feature Refinement Unresolved cited work

Reference 14

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Observation 93a1bafd-f5ef-4ee9-b004-434271698425 · outbound

This paper cites Tackling dimensional collapse toward comprehensive universal domain adaptation.

Domain Adaptation via Feature Refinement Tackling dimensional collapse toward comprehensive universal domain adaptation

Reference 15

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Observation 929ed857-9b0d-4d1d-bc80-2f8fa2b5bbdb · outbound

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

Domain Adaptation via Feature Refinement Sharpness-aware minimization for efficiently improving generalization

Reference 16

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Observation b8fbe82d-dc15-4aa8-a0be-6344c86a1d40 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Domain Adaptation via Feature Refinement Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 17

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Observation 55cc4b4b-ba80-4b3c-bf95-79699bf4bf36 · outbound

This paper cites Lempitsky.

Domain Adaptation via Feature Refinement Lempitsky

Reference 18

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Observation 28546e25-284a-4c43-a52b-4975c8e38215 · outbound

This paper cites Gatys, Alexander S.

Domain Adaptation via Feature Refinement Gatys, Alexander S

Reference 19

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Observation d6907619-8cde-4104-a95f-ef518525ddbf · outbound

This paper cites Borgwardt, Malte J.

Domain Adaptation via Feature Refinement Borgwardt, Malte J

Reference 20

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Observation 45a593a6-66b7-4b58-8283-d9e8c7fdc407 · outbound

This paper cites Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Remi Munos, and Michal Valko.

Domain Adaptation via Feature Refinement Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Remi Munos, and Michal Valko

Reference 21

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Observation 4fbcd296-8415-41a1-a22f-eb97ca99e455 · outbound

This paper cites Weinberger.

Domain Adaptation via Feature Refinement Weinberger

Reference 22

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Observation 19173107-92d2-4c50-bc4d-ea34bec15987 · outbound

This paper cites Deep residual learning for image recognition.

Domain Adaptation via Feature Refinement Deep residual learning for image recognition

Reference 23

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Observation 571a8acf-739f-4ab7-848f-e9ee69753e8f · outbound

This paper cites Dietterich.

Domain Adaptation via Feature Refinement Dietterich

Reference 24

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Observation 89b2636f-8aeb-403a-9c34-2e6c7afd19fb · outbound

This paper cites Augmix: A simple method to improve robustness and uncertainty under data shift.

Domain Adaptation via Feature Refinement Augmix: A simple method to improve robustness and uncertainty under data shift

Reference 25

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Observation 2d26da56-22af-4b79-bf73-e21b23af6009 · outbound

This paper cites Natural Adversarial Examples.

Domain Adaptation via Feature Refinement Natural Adversarial Examples

Reference 26

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Observation 3aa77066-48fc-4d72-b741-48f313edd333 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Domain Adaptation via Feature Refinement Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 27

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Observation 781afe49-a272-4fc7-a3f4-ad17fb3a1efa · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Domain Adaptation via Feature Refinement Distilling the Knowledge in a Neural Network

Reference 28

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Observation 52c3cd41-a09b-4a76-b70d-273f7ea985e9 · outbound

This paper cites Hrda: Context-aware high-resolution domain-adaptive semantic segmentation.

Domain Adaptation via Feature Refinement Hrda: Context-aware high-resolution domain-adaptive semantic segmentation

Reference 29

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Observation a71854af-9b4f-4edf-a4c2-9ffd7767db06 · outbound

This paper cites Belongie.

Domain Adaptation via Feature Refinement Belongie

Reference 30

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Observation 69565728-2c5d-4821-ba3f-7686bd0cb4c6 · outbound

This paper cites Like What You Like: Knowledge Distill via Neuron Selectivity Transfer.

Domain Adaptation via Feature Refinement Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

Reference 31

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Observation c3d70d26-3637-4b4f-bebb-bef1a7a4e3f8 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Domain Adaptation via Feature Refinement Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 32

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Observation 7bc72b89-bef0-4023-bdcb-d6f7454bcf5a · outbound

This paper cites Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults.

Domain Adaptation via Feature Refinement Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults

Reference 33

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Observation c7bf3276-fef6-49c7-9acd-7a82bad51fb2 · outbound

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Domain Adaptation via Feature Refinement Hauptmann

Reference 34

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Observation 723105d0-ff2e-4409-85d2-9de8fce47448 · outbound

This paper cites Effects of varying resolution on performance of cnn based image classification an experimental study.

Domain Adaptation via Feature Refinement Effects of varying resolution on performance of cnn based image classification an experimental study

Reference 35

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Observation 358d06db-a729-4f80-9043-3943b5d1c3a0 · outbound

This paper cites Kingma and Jimmy Ba.

Domain Adaptation via Feature Refinement Kingma and Jimmy Ba

Reference 36

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Observation 877fdea4-2b15-438a-ada9-38b7a7a03895 · outbound

This paper cites On the effectiveness of adversarial training against common corruptions.

Domain Adaptation via Feature Refinement On the effectiveness of adversarial training against common corruptions

Reference 37

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Observation 40850687-cb5e-4e93-b7b5-cec7fa23ffd3 · outbound

This paper cites Improving model calibration with accuracy versus uncertainty optimization.

Domain Adaptation via Feature Refinement Improving model calibration with accuracy versus uncertainty optimization

Reference 38

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Observation 02f7a1c0-47af-4bee-bb35-bdda1b92f919 · outbound

This paper cites Ats: Adaptive temperature scaling for enhancing out-of-distribution detection methods.

Domain Adaptation via Feature Refinement Ats: Adaptive temperature scaling for enhancing out-of-distribution detection methods

Reference 39

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Observation d18215ed-0cdf-478b-bca2-fe40da4ef909 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Domain Adaptation via Feature Refinement Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:12.511697Z

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.

source=arxiv_source observed=2026-08-05T17:34:50.883322Z digest=sha256:2d7f29b0b2ef80af75e8cd221293b0d3e75dc9c39cc48ad8851ee804f1a32b9a

Observation 836b25e2-5d35-4d9f-b936-00cee23b4478 · outbound

This paper cites Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, and Yun Fu.

Domain Adaptation via Feature Refinement Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, and Yun Fu

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:12.367673Z

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.

source=arxiv_source observed=2026-08-05T17:34:50.990909Z digest=sha256:b20f8c866473292423e2e23f917dd374b3d2777a6212cd33a53902870412eed2

Observation 3222c940-1351-4e2f-9325-470d64487383 · outbound

This paper cites Partial domain adaptation without domain alignment.

Domain Adaptation via Feature Refinement Partial domain adaptation without domain alignment

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:12.218207Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.096663Z digest=sha256:482d34243a8218c1f3a43a79a3f9b8aa8d8ab2a08ce9e76cda9469d94edbb4ee

Observation 9cfcb61c-5a61-4cf8-bb47-f6891e54b141 · outbound

This paper cites Partial domain adaptation without domain alignment.

Domain Adaptation via Feature Refinement Partial domain adaptation without domain alignment

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:12.080868Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.180051Z digest=sha256:d099b8f9406aaf99c6253275aefbb71c9a74cea9e885f8227ccaa94764f59815

Observation 26bd7257-4e18-4e47-be27-94433a18d97e · outbound

This paper cites Revisiting batch normalization for practical domain adaptation.

Domain Adaptation via Feature Refinement Revisiting batch normalization for practical domain adaptation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:11.956511Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.278981Z digest=sha256:33abf25d6f3f88c3d63609563030a8a5f44038876c4c45c67b3feb961496c2aa

Observation e4367446-dc4f-4c6f-80e1-eb9e92c0afdf · outbound

This paper cites A comprehensive survey on test-time adaptation under distribution shifts.

Domain Adaptation via Feature Refinement A comprehensive survey on test-time adaptation under distribution shifts

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:11.787391Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.358343Z digest=sha256:044bc186a1ef38d43f64aea9b4e19c8c962d5eac70327a4f5083fec7630f0c4d

Observation a7e9b91a-e78e-4c34-8d53-c7ecfda01c28 · outbound

This paper cites A comprehensive survey on test-time adaptation under distribution shifts.

Domain Adaptation via Feature Refinement A comprehensive survey on test-time adaptation under distribution shifts

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:11.633432Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.407875Z digest=sha256:1a588c95d35bcdb8155d92912ff307c254037763b53fb80986e4b58d1da63253

Observation b67f5fd5-031b-4046-aa86-f844aeb0de6b · outbound

This paper cites Do we really need to access the source data? S ource hypothesis transfer for unsupervised domain adaptation.

Domain Adaptation via Feature Refinement Do we really need to access the source data? S ource hypothesis transfer for unsupervised domain adaptation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:11.508911Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.529811Z digest=sha256:607a7294aa78b1ccedaa98d2aae49c6e00d61155c073d99c03714a03c47cd2d6

Observation 650a2fde-f094-4292-aac7-ed342cce8149 · outbound

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

Domain Adaptation via Feature Refinement Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:11.329800Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.604348Z digest=sha256:20570b718165ebb03e1ee67b9887e81de45e18d5e22bad7d872fba7507b1e240

Observation 2390139c-4aaf-4f4c-83f6-f1fc2e6d6e21 · outbound

This paper cites Guiding pseudo-labels with uncertainty estimation for source-free unsupervised domain adaptation.

Domain Adaptation via Feature Refinement Guiding pseudo-labels with uncertainty estimation for source-free unsupervised domain adaptation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:11.174634Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.692110Z digest=sha256:4234206d30d7a76c38c8d11c06059f362508f96324d258f8dd212ca9e2959290

Observation 205258ee-6584-47cd-9d09-ee8aeaa3fb70 · outbound

This paper cites an unresolved cited work.

Domain Adaptation via Feature Refinement Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:35:11.021251Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.776350Z digest=sha256:ca0a7093fb44bde4ac75792db29aa1bdcb9305b4b618e0bac38bb64965fb705f

Observation 7fd0c9be-ed4d-4cbc-8f6a-d52b738370f6 · outbound

This paper cites an unresolved cited work.

Domain Adaptation via Feature Refinement Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:35:10.870454Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.896406Z digest=sha256:53bd20346cf21029956f3dea1052315c7983c999420df99595ca94ea40dc8627

Observation bd658bc2-4234-4254-9ae0-31311d5f6e7e · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts.

Domain Adaptation via Feature Refinement SGDR: stochastic gradient descent with warm restarts

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:10.662661Z

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.

source=arxiv_source observed=2026-08-05T17:34:51.979452Z digest=sha256:45d94a8a1b9462c0323dc437a8a9e10437a4f69d0731d1cb03169d5083755e13

Observation 77fc2262-54ea-4560-9c31-ea8aac16ba3f · outbound

This paper cites Decoupled weight decay regularization.

Domain Adaptation via Feature Refinement Decoupled weight decay regularization

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:10.534201Z

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.

source=arxiv_source observed=2026-08-05T17:34:52.025529Z digest=sha256:854f81b81efad8a4ef700f6872bab9d9a4e1e7c7a15dae47d04c61d7f66224a4

Observation 469538e9-f909-42d1-b99d-f2e0325410a0 · outbound

This paper cites Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation.

Domain Adaptation via Feature Refinement Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:10.348585Z

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.

source=arxiv_source observed=2026-08-05T17:34:52.149828Z digest=sha256:752bd7df90a26f5297abd3d58216e2f5ceda194b6eee450f7af89fb5b2162faa

Observation 63ed0214-9ff8-4efd-a7b4-f1a1b7115b44 · outbound

This paper cites Context-guided entropy minimization for semi-supervised domain adaptation.

Domain Adaptation via Feature Refinement Context-guided entropy minimization for semi-supervised domain adaptation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:10.178729Z

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.

source=arxiv_source observed=2026-08-05T17:34:52.248590Z digest=sha256:e35ad8a1a49638085015127a7713700aa4e0b06183775673cfb69f2554c9e6d2

Observation a6692926-00d1-4484-9f9f-1644f5594d1e · outbound

This paper cites Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization.

Domain Adaptation via Feature Refinement Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:09.971781Z

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.

source=arxiv_source observed=2026-08-05T17:34:52.342931Z digest=sha256:5c201d01e782d331f1337e62d127947d28e455689864a3871cf92e83e1dab332

Observation 559c7d9b-e05a-4259-bdeb-687993789560 · outbound

This paper cites Jehanzeb Mirza, Jakub Micorek, Horst Possegger, and Horst Bischof.

Domain Adaptation via Feature Refinement Jehanzeb Mirza, Jakub Micorek, Horst Possegger, and Horst Bischof

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:09.773349Z

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.

source=arxiv_source observed=2026-08-05T17:34:52.434234Z digest=sha256:41c49ea2440128bb5401f01fa4b05452ea8fa39dcdde4a0f6fc1eb19d1b71581

Observation f133ea45-8dcd-45c5-855f-278bf205b7c7 · outbound

This paper cites Generative pseudo-label refinement for unsupervised domain adaptation.

Domain Adaptation via Feature Refinement Generative pseudo-label refinement for unsupervised domain adaptation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:09.595826Z

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.

source=arxiv_source observed=2026-08-05T17:34:52.518436Z digest=sha256:822f733a021b935cb11c20cac63c6a2113597ca44cd94d5f7b1596ac7f8e961d

Observation 95944487-13ad-4a77-b9d9-677b69eddf36 · outbound

This paper cites MNIST-C: A Robustness Benchmark for Computer Vision.

Domain Adaptation via Feature Refinement MNIST-C: A Robustness Benchmark for Computer Vision

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T17:34:52.601567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:34:52.601567Z digest=sha256:b552fc78d7ee52d14737a77c2d8182c5a5509a035bc5e1bfbaeaf04760afa945

Observation 45178d82-35a3-4142-8c2a-afa55fec20a6 · outbound

This paper cites Kernel mean embedding of distributions: A review and beyond.

Domain Adaptation via Feature Refinement Kernel mean embedding of distributions: A review and beyond

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:09.451232Z

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.

source=arxiv_source observed=2026-08-05T17:34:52.693029Z digest=sha256:99dd39755d68b3eb66048bfdfc853a5a9e8863029c31dc33dfa5f84307fe250a

Observation fb592a62-d6b3-433a-9641-042988bab0f8 · outbound

This paper cites Fixbi: Bridging domain spaces for unsupervised domain adaptation.

Domain Adaptation via Feature Refinement Fixbi: Bridging domain spaces for unsupervised domain adaptation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:09.256851Z

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.

source=arxiv_source observed=2026-08-05T17:34:52.774810Z digest=sha256:83cd15ee395b596f6ba72633e54f45735a257ca0cb6540ecd8f7fb383f039426

Observation 56fdd4ec-1a93-4c33-8b68-a13d4768a02e · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

Domain Adaptation via Feature Refinement Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-05T17:34:52.861953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:34:52.861953Z digest=sha256:64de358879902dcb1c6790471d2ce7a7abe1c58fc06677688f0a04dd0cdce516

Observation 31a43bd1-d38a-4e02-8be6-52424e35ea63 · outbound

This paper cites an unresolved cited work.

Domain Adaptation via Feature Refinement Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:35:09.071596Z

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.

source=arxiv_source observed=2026-08-05T17:34:52.972231Z digest=sha256:6c60210f0d8d350f8e0df25bf888260d3e696ba1eef656352f6aa06d4f32fd59

Observation 37a4c82d-935b-4941-af13-9a9190ce2b36 · outbound

This paper cites Batch-instance normalization for adaptively style-invariant neural networks.

Domain Adaptation via Feature Refinement Batch-instance normalization for adaptively style-invariant neural networks

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:08.893785Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.053550Z digest=sha256:b0070a935fe0c11861a90b3b7a9e6640e4ca8fe8ba8b18130c4e60431b295a18

Observation df4ec044-c9e9-4a69-b9b3-77d6d6ec51c2 · outbound

This paper cites Nesterov.

Domain Adaptation via Feature Refinement Nesterov

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:08.727227Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.167144Z digest=sha256:b067729d86763e858c1b27a41b3202a23b7500865b0148f47ac746aba1991b77

Observation 9289e135-1712-4b2c-be2b-9573f011d633 · outbound

This paper cites Raychaudhuri, Samet Oymak, and Amit K.

Domain Adaptation via Feature Refinement Raychaudhuri, Samet Oymak, and Amit K

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:08.563665Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.250386Z digest=sha256:938f045a2a43cd3276197fdb857e4bafdea0792719df20d51aa06ada6f8be675

Observation b2b158f7-8b58-463e-930b-270987d94517 · outbound

This paper cites Efficient test-time model adaptation without forgetting.

Domain Adaptation via Feature Refinement Efficient test-time model adaptation without forgetting

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:08.352100Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.333852Z digest=sha256:45fb06b68d88b54a264469f920fc4e9a7aa45d4326dece9bbc3934873dc15e1b

Observation 97272b64-a72e-4f9a-9e52-98e07b267f5e · outbound

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

Domain Adaptation via Feature Refinement Towards stable test-time adaptation in dynamic wild world

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:08.160820Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.423131Z digest=sha256:ba3dfd5531c2eb8597814ea07f437f215a312db5c6639decb857efbd45bb962a

Observation dfef67b8-8296-4398-b8f4-feabad6a2fc9 · outbound

This paper cites Tttflow: Unsupervised test-time training with normalizing flow.

Domain Adaptation via Feature Refinement Tttflow: Unsupervised test-time training with normalizing flow

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:07.998754Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.505778Z digest=sha256:6cd8182ad6f1dbaf63c7228c5004aebe0aaea3e24a3db2f548d15a8e082fd5a5

Observation b4ea94d0-335a-44ca-8abe-e0e2d857650f · outbound

This paper cites Sculley, Sebastian Nowozin, Joshua V.

Domain Adaptation via Feature Refinement Sculley, Sebastian Nowozin, Joshua V

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:07.815214Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.582641Z digest=sha256:b9ad01c8133a1f295cbe0aa93f21fa9618aecf0ceba505c1fcac7c52ba8f484d

Observation cea09bc3-6e07-41bc-b7af-251716385589 · outbound

This paper cites Multi-adversarial domain adaptation.

Domain Adaptation via Feature Refinement Multi-adversarial domain adaptation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:07.639872Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.689912Z digest=sha256:87328d97bf59c5aefaa4b82d461bc037acaa87c211e116e008ab4ec9461e3dc6

Observation 8f04c219-47a3-4d39-aeb8-e9097a477777 · outbound

This paper cites Cordeiro.

Domain Adaptation via Feature Refinement Cordeiro

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:07.390550Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.775585Z digest=sha256:909d8bac2b9bb05ee35ef9dc2767c40e2d92c7232ed3a651b620e1047a48b588

Observation 2d50d737-5a26-47c7-b460-6b14c9882074 · outbound

This paper cites Fitnets: Hints for thin deep nets.

Domain Adaptation via Feature Refinement Fitnets: Hints for thin deep nets

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:07.141736Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.851238Z digest=sha256:cd242dc4cc1baa22c39afb0c4904bb2d2f175d962a96790d50ade2649b316f31

Observation 0b77dfa0-ec4c-40e7-a9cf-a4615fd4ff69 · outbound

This paper cites Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, and Wieland Brendel.

Domain Adaptation via Feature Refinement Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, and Wieland Brendel

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:06.952492Z

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.

source=arxiv_source observed=2026-08-05T17:34:53.928876Z digest=sha256:62fd5fe0416332d972d18c809caa122e4cb6c29f0e6be1d29247640be67b1654

Observation 495cf5f7-51be-4f14-bd13-b23b4681cbc1 · outbound

This paper cites Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, and Wieland Brendel.

Domain Adaptation via Feature Refinement Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, and Wieland Brendel

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:06.690872Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.010251Z digest=sha256:1e2a49e629448b7b3eeb6a3cfaf6d3d22ab79c506b3cd10f5e172030873fb93f

Observation 7c24a315-539f-4921-bf75-6e9e83bd9d50 · outbound

This paper cites Asymmetric tri-training for unsupervised domain adaptation.

Domain Adaptation via Feature Refinement Asymmetric tri-training for unsupervised domain adaptation

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:06.328087Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.086687Z digest=sha256:54bb6bea17ef33565ae914132bfd532b9c10bd387a69cd623c29aaaabda17226

Observation 6e469208-d4d0-4950-8d87-05e012b2cbc6 · outbound

This paper cites Maximum classifier discrepancy for unsupervised domain adaptation.

Domain Adaptation via Feature Refinement Maximum classifier discrepancy for unsupervised domain adaptation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:06.046553Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.171848Z digest=sha256:f618466330d899afa98b677b1de8cdd16fe40937ee2bdba345b886b3921594f2

Observation ad38a1ea-9dde-4c77-9b5a-fa88e32ee16e · outbound

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

Domain Adaptation via Feature Refinement Improving robustness against common corruptions by covariate shift adaptation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:05.716286Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.249815Z digest=sha256:1e4499e4dbd9a9b2aa10af74b5735d7aa94439b650f2532663c46816505b3425

Observation 58381a1d-a06b-4c96-9cbb-f9b774f49687 · outbound

This paper cites Learning from simulated and unsupervised images through adversarial training.

Domain Adaptation via Feature Refinement Learning from simulated and unsupervised images through adversarial training

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:05.360088Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.323012Z digest=sha256:1e26bcff09591f9f2895fb7959a63c85289417502755f9dc5c9df5f821c7321f

Observation c9fc74e7-4a4c-41ce-b229-db2da610530f · outbound

This paper cites Transferable curriculum for weakly-supervised domain adaptation.

Domain Adaptation via Feature Refinement Transferable curriculum for weakly-supervised domain adaptation

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:05.066218Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.398946Z digest=sha256:e36b9a562a791cead6adc1598c034c4b1c81315665a3cc6a685c4a52a58acd59

Observation b809b702-8afc-4489-9901-b7ca52d5b3ad · outbound

This paper cites Active adversarial domain adaptation.

Domain Adaptation via Feature Refinement Active adversarial domain adaptation

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:04.765785Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.575140Z digest=sha256:64c80d036e04ee4f4a70fec4283b892cf92dc7a0030b11f7e20ce83eac3d3765

Observation 19faa931-f3a8-4f50-a4be-3fe74d484f71 · outbound

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

Domain Adaptation via Feature Refinement Deep coral: Correlation alignment for deep domain adaptation

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:04.443047Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.690656Z digest=sha256:83125e584eebc2ac9f2cfccbb14f86b6e5b0097e4cd12d824b35c7c49fdce1a6

Observation 7bc700c7-eb77-4cae-bb70-f57896b8f3a9 · outbound

This paper cites Efros, and Moritz Hardt.

Domain Adaptation via Feature Refinement Efros, and Moritz Hardt

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:04.213666Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.850127Z digest=sha256:174133c26dda35e4375d6bc92dfea234f3e241f71b4b032c3c0f3de25540a6fd

Observation fc54220a-c617-4eb2-9b46-03e86d75f005 · outbound

This paper cites Discriminative adversarial domain adaptation.

Domain Adaptation via Feature Refinement Discriminative adversarial domain adaptation

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:03.880523Z

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.

source=arxiv_source observed=2026-08-05T17:34:54.953863Z digest=sha256:06bb39b81ebc55192eb1861c4b22cb6c275735b52eeb41231beb3535252bf491

Observation cd301073-3456-42b5-b7aa-7e8c54ad1703 · outbound

This paper cites Measuring robustness to natural distribution shifts in image classification.

Domain Adaptation via Feature Refinement Measuring robustness to natural distribution shifts in image classification

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:03.532229Z

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.

source=arxiv_source observed=2026-08-05T17:34:55.082064Z digest=sha256:7daeff8b52046df6f06420be6dc433270bace623bbe16ea2dc2a3edbf47aa520

Observation 5179d3ab-1e61-4c40-b9ca-c8920d625808 · outbound

This paper cites Contrastive representation distillation.

Domain Adaptation via Feature Refinement Contrastive representation distillation

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:03.225928Z

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.

source=arxiv_source observed=2026-08-05T17:34:55.242290Z digest=sha256:c881e36586620a62fd6333c0a1f60bdd19509d79fba81c92baafe629972d7123

Observation 9412f086-c301-4bc5-ad33-5171ca8abcb0 · outbound

This paper cites Deep learning and the information bottleneck principle.

Domain Adaptation via Feature Refinement Deep learning and the information bottleneck principle

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:02.832007Z

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.

source=arxiv_source observed=2026-08-05T17:34:55.382740Z digest=sha256:9436a0801f4c8de0ef67709cd3ba63418d046eaf5422a533e26fd4bcbe62deb5

Observation 561ace33-6844-44c6-a206-a2bcc837abfb · outbound

This paper cites ADVENT: adversarial entropy minimization for domain adaptation in semantic segmentation.

Domain Adaptation via Feature Refinement ADVENT: adversarial entropy minimization for domain adaptation in semantic segmentation

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:02.555840Z

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.

source=arxiv_source observed=2026-08-05T17:34:55.537520Z digest=sha256:24e7b4db24ddd11c2c9d6014d11f6aab75530eeba944bbedce0247702870e7c9

Observation dc85e4fb-8ca8-4860-a1cc-dfdcfd45dcd8 · outbound

This paper cites Olshausen, and Trevor Darrell.

Domain Adaptation via Feature Refinement Olshausen, and Trevor Darrell

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:02.271140Z

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.

source=arxiv_source observed=2026-08-05T17:34:55.664480Z digest=sha256:274f3734c60d20049b25265c34c9c6a8436dfdefe824a088e16c2146bd562f10

Observation b8fe697b-7a92-45d5-bb9a-0e2948dd078d · outbound

This paper cites Continual test-time domain adaptation.

Domain Adaptation via Feature Refinement Continual test-time domain adaptation

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:01.981783Z

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.

source=arxiv_source observed=2026-08-05T17:34:55.785242Z digest=sha256:7ad723040a42f01e926c53c17f549ea274de60e5c86c833f495d850884f61df8

Observation 08244b29-a202-45f7-8c7c-a17aed062d09 · outbound

This paper cites Cross-domain Contrastive Learning for Unsupervised Domain Adaptation.

Domain Adaptation via Feature Refinement Cross-domain Contrastive Learning for Unsupervised Domain Adaptation

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:34:58.208256Z

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.

source=arxiv_source observed=2026-08-05T17:34:55.933495Z digest=sha256:5a72aa31f292f0ac2c45038ee86f3a2aea95fb997c22cbf1cd6e959da9423827

Observation 5a97d52d-f796-473b-a214-c9f3e13898af · outbound

This paper cites Revisiting unsupervised domain adaptation models: a smoothness perspective.

Domain Adaptation via Feature Refinement Revisiting unsupervised domain adaptation models: a smoothness perspective

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:01.746194Z

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.

source=arxiv_source observed=2026-08-05T17:34:56.083698Z digest=sha256:3396f50fbe95ec929f723b85c5e5c5151df71ac908d7b16b19a93eeb5befb2b3

Observation 09d077a5-27f6-4312-b3b4-edc4eccaf895 · outbound

This paper cites Girshick, Piotr Dollar, Zhuowen Tu, and Kaiming He.

Domain Adaptation via Feature Refinement Girshick, Piotr Dollar, Zhuowen Tu, and Kaiming He

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:01.430422Z

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.

source=arxiv_source observed=2026-08-05T17:34:56.208851Z digest=sha256:ec5f9aedc4b5108a6948b2e3e122efcd4f1688f58716d6c4c33fe9563067e8f2

Observation 09c493c0-bac7-4ffc-b449-b43a401dd27d · outbound

This paper cites Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation.

Domain Adaptation via Feature Refinement Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:01.245841Z

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.

source=arxiv_source observed=2026-08-05T17:34:56.332274Z digest=sha256:d31df966881f53380a1c02aea47e8a27a9e0ee1d16ce66c25feb5e8c6ad83d9a

Observation f968c0ba-95ba-4823-9902-adcb50b41c10 · outbound

This paper cites Generalized out-of-distribution detection: A survey.

Domain Adaptation via Feature Refinement Generalized out-of-distribution detection: A survey

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:00.984383Z

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.

source=arxiv_source observed=2026-08-05T17:34:56.459153Z digest=sha256:f5b8d4373533bdb91a36a5b301fb628777a1d031b67cd1b6a80a1abb4f03edd8

Observation b0c53347-e08c-4729-92c9-1dd23214f585 · outbound

This paper cites Doubly robust calibration of prediction sets under covariate shift.

Domain Adaptation via Feature Refinement Doubly robust calibration of prediction sets under covariate shift

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:00.745200Z

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.

source=arxiv_source observed=2026-08-05T17:34:56.600609Z digest=sha256:862fc542c2bf137f28922335ddeeb6382549269bb48e266b04d0135e44c7861b

Observation 11046bf6-babb-490e-b8a1-608924803395 · outbound

This paper cites A gift from knowledge distillation: Fast optimization, network minimization and transfer learning.

Domain Adaptation via Feature Refinement A gift from knowledge distillation: Fast optimization, network minimization and transfer learning

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:00.529596Z

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.

source=arxiv_source observed=2026-08-05T17:34:56.709017Z digest=sha256:6c91a21294806909a297b2c02f6c731b6969f1fd30c32aecd24235d7090b34bc

Observation 84083672-65f3-4e9c-9e75-0f9b7069600f · outbound

This paper cites Robust test-time adaptation in dynamic scenarios.

Domain Adaptation via Feature Refinement Robust test-time adaptation in dynamic scenarios

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:00.307391Z

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.

source=arxiv_source observed=2026-08-05T17:34:56.880932Z digest=sha256:c3abe80c4269e1e5243c877bfdf6fadbd06fc1e8a4107b8b484d37934f4cd96f

Observation f585cf31-6aa3-47c9-816a-d0a600b4d2db · outbound

This paper cites TEA: test-time energy adaptation.

Domain Adaptation via Feature Refinement TEA: test-time energy adaptation

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:35:00.156338Z

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.

source=arxiv_source observed=2026-08-05T17:34:57.056554Z digest=sha256:0564e7c8076bf2f37db8d16554777f752d3d0702f8617956364392b024c5d4e3

Observation c944975b-c34f-4ff7-a1f8-55b40ed844ba · outbound

This paper cites Wide residual networks.

Domain Adaptation via Feature Refinement Wide residual networks

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:34:59.980291Z

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.

source=arxiv_source observed=2026-08-05T17:34:57.285774Z digest=sha256:536c936d6fa760c98530d66aa90a698b99ddc2b4cc7686926eb8a081e6a607fa

Pith citing papers

No inbound Pith citation observations are available.