Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation | Paper Citation Record

Observation 9d196624-8ad2-466c-8648-7d00c32ff1b4 · outbound

This paper cites Generalizing to unseen domains via distribution matching.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Generalizing to unseen domains via distribution matching

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.137050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1383d1e1-e3de-4d24-9f02-b24db628be7e · outbound

This paper cites Improving out-of-distribution generalization via multi-task self-supervised pretraining.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Improving out-of-distribution generalization via multi-task self-supervised pretraining

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.143648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f740829-402e-4226-a47c-0c6c4f81f536 · outbound

This paper cites Towards understanding sharpness-aware minimization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Towards understanding sharpness-aware minimization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.149219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6d7e8e0-b53f-4c3f-b2b0-f13af508d016 · outbound

This paper cites Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.154659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4020153-ddbe-41b7-ae0d-8c661cfcd6fb · outbound

This paper cites Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.160061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35939266-67ef-4028-b800-bd8206331d9c · outbound

This paper cites An empirical comparison of voting classification algorithms: Bagging, boosting, and variants.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation An empirical comparison of voting classification algorithms: Bagging, boosting, and variants

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.164931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79f82f37-0085-4408-a474-59dbc6636e54 · outbound

This paper cites A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.170596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b074d1fc-1609-4692-87e1-a5e6adad3ca6 · outbound

This paper cites Recognition in terra incognita.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Recognition in terra incognita

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.175182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1dd215d-cd7f-4c04-a842-e4240a148288 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation On the Opportunities and Risks of Foundation Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.180105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f10d3d85-0968-4f38-9858-8bb0b065942c · outbound

This paper cites Bagging predictors.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Bagging predictors

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.185206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82b0e243-52d9-47de-bf1a-b1a397186953 · outbound

This paper cites Random forests.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Random forests

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.189601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ad8712-b3d0-4f09-8661-77d888fb2e66 · outbound

This paper cites Language models are few-shot learners.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Language models are few-shot learners

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.194272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edaca39d-259c-4990-9767-68bdf1d80c6a · outbound

This paper cites Swad: Domain generalization by seeking flat minima.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Swad: Domain generalization by seeking flat minima

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.199372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89ee8eee-113e-4c78-91a9-885ba16aa146 · outbound

This paper cites Exploiting hierarchical context on a large database of object categories.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Exploiting hierarchical context on a large database of object categories

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.203929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab5ee97-a4b7-459a-9cd0-96176f5a2c7f · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Imagenet: A large-scale hierarchical image database

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.209296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d31805-1296-4e40-bb11-9c136301b1b8 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.214027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bab7072-2770-4020-8031-dd3bd04a1708 · outbound

This paper cites Sharp minima can generalize for deep nets.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Sharp minima can generalize for deep nets

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.218944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84ca147-99ff-4d92-aff9-2e1bf65a67bc · outbound

This paper cites The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:35:39.366458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f8f446d-5480-4b41-bfcf-8c595f5b2984 · outbound

This paper cites The pascal visual object classes (voc) challenge.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation The pascal visual object classes (voc) challenge

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.229610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3a059e-c52c-4e4d-8217-41e2f0ebce94 · outbound

This paper cites Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.234960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e31c0cf-1b6a-43f5-8c83-de652fed29e5 · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.241187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df96fd3b-e82a-46ae-aaf2-f9a78d9e4268 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.246349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319c2dce-305f-4a3c-8022-e334d91e2a27 · outbound

This paper cites Linear mode connectivity and the lottery ticket hypothesis.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Linear mode connectivity and the lottery ticket hypothesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.252513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2361de13-e6c1-491d-92b6-b3dfa9993b89 · outbound

This paper cites A decision-theoretic generalization of on-line learning and an application to boosting.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation A decision-theoretic generalization of on-line learning and an application to boosting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.258170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f830034-8d96-427b-a80f-779c87685b50 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Unsupervised domain adaptation by backpropagation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.263764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba9591b-5e96-40b3-9338-f3c709f9319b · outbound

This paper cites Domain-adversarial training of neural networks.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Domain-adversarial training of neural networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.268961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb035b3-c756-429d-94f7-18bade4db9b7 · outbound

This paper cites Shortcut learning in deep neural networks.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Shortcut learning in deep neural networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.273581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51cc5a0d-d351-47a5-b79e-4cc47405b204 · outbound

This paper cites In Search of Lost Domain Generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation In Search of Lost Domain Generalization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.278743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16ebdc0e-dce8-4535-9562-43c54f570ae5 · outbound

This paper cites Stochastic Weight Averaging Revisited.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Stochastic Weight Averaging Revisited

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.285016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad5b35ca-cedf-45d0-baf1-cfcd51f5377f · outbound

This paper cites Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.290317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33792f89-9b15-41da-9658-8f8378cf2851 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Momentum contrast for unsupervised visual representation learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.295812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa685fab-0039-4fcd-814a-fc2afd108804 · outbound

This paper cites Deep residual learning for image recognition.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Deep residual learning for image recognition

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.300756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e321e1-64ef-4d7e-9d20-ce5aa6f54f08 · outbound

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

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.305857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91de6d65-ce68-4e87-b569-fce704109384 · outbound

This paper cites What shapes feature representations? exploring datasets, architectures, and training.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation What shapes feature representations? exploring datasets, architectures, and training

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:40.194651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94a5a69a-3591-402b-9525-64c0c829959d · outbound

This paper cites beta- VAE : Learning basic visual concepts with a constrained variational framework.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation beta- VAE : Learning basic visual concepts with a constrained variational framework

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:40.178235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9b92de7a-e9a0-40e7-9dae-481d150bd085 · outbound

This paper cites Denoising diffusion probabilistic models.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Denoising diffusion probabilistic models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.323589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50dfa4f2-52a2-4943-9740-d725008501cc · outbound

This paper cites Simplifying neural nets by discovering flat minima.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Simplifying neural nets by discovering flat minima

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:40.149705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0818caea-bf37-43ec-b4b1-b188933697a1 · outbound

This paper cites an unresolved cited work.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:35:40.130786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 98df4fb2-e46d-4fad-a3f9-896fdcfd893e · outbound

This paper cites Adversarial examples are not bugs, they are features.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Adversarial examples are not bugs, they are features

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:40.112405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e12ddafe-48dd-4422-9b26-eae987258bba · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Averaging Weights Leads to Wider Optima and Better Generalization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.348908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b9b7f32-2469-4108-9edc-337672630c2b · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Scaling up visual and vision-language representation learning with noisy text supervision

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:40.092885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 908c6b18-3c04-4884-a88a-d046322f163d · outbound

This paper cites When Do Flat Minima Optimizers Work?.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation When Do Flat Minima Optimizers Work?

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:35:39.237966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a04709c7-7ec2-46d9-97c6-bc4478523f52 · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.367358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 813be477-0afe-4bee-a0a4-b15dadbba026 · outbound

This paper cites Generalization in anti-causal learning.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Generalization in anti-causal learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.372693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0495a5cc-2f45-4aea-b141-399abfa94f43 · outbound

This paper cites Disentangling by factorising.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Disentangling by factorising

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:40.074821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8690773f-260d-4e6d-bec8-54390540ef19 · outbound

This paper cites Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.385672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb1667d8-ea0b-4646-9cc2-3bd00ef73464 · outbound

This paper cites Big transfer (bit): General visual representation learning.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Big transfer (bit): General visual representation learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:40.057711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cb3064e4-4817-4d40-9523-e22cb8c063ad · outbound

This paper cites Learning multiple layers of features from tiny images, 2009.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Learning multiple layers of features from tiny images, 2009

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.397298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8615163a-d996-4c93-a382-04f1c9996716 · outbound

This paper cites Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.402564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d65fe49-4b47-4332-a94b-c0bb259ba8e3 · outbound

This paper cites Asam: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Asam: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:40.024557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 293666df-28ea-4e73-b073-9b43630a20a8 · outbound

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

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Gradient-based learning applied to document recognition

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:40.002310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4280aef3-b5e2-4fb8-865e-22143bf0c5cb · outbound

This paper cites Deeper, broader and artier domain generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Deeper, broader and artier domain generalization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.427369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d53c5425-adef-48aa-af1d-e64408158869 · outbound

This paper cites Cross-domain adaptive clustering for semi-supervised domain adaptation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Cross-domain adaptive clustering for semi-supervised domain adaptation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.973167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 01368bdd-8b89-4f58-9369-97c6ef1df174 · outbound

This paper cites Few-shot domain adaptation with polymorphic transformers.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Few-shot domain adaptation with polymorphic transformers

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.956090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f6e4ef1-10ae-4887-a84f-d6e89355af27 · outbound

This paper cites Domain invariant and class discriminative feature learning for visual domain adaptation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Domain invariant and class discriminative feature learning for visual domain adaptation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.938878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bd84d0a7-df44-4c0d-b94b-b6e17b913212 · outbound

This paper cites Learning transferable features with deep adaptation networks.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Learning transferable features with deep adaptation networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.920401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5fb06a4d-14d1-4704-b001-5cbe1650bce6 · outbound

This paper cites Deep transfer learning with joint adaptation networks.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Deep transfer learning with joint adaptation networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.902936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9dfda6d9-e28f-4665-ba94-f1aa5559f97c · outbound

This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.470742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2724b8f0-06cb-42cb-af32-e174723a06c4 · outbound

This paper cites Few-shot adversarial domain adaptation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Few-shot adversarial domain adaptation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.885004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bc13d239-6a85-448f-9054-8295ff3e3a0a · outbound

This paper cites Unified deep supervised domain adaptation and generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Unified deep supervised domain adaptation and generalization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.865095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bdc52a05-f1cc-4cc7-9301-400de9f8d376 · outbound

This paper cites Domain generalization via invariant feature representation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Domain generalization via invariant feature representation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.846911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bc9c10ea-1693-440e-ac69-d6207fea08dc · outbound

This paper cites Deep Ensembles for Low-Data Transfer Learning.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Deep Ensembles for Low-Data Transfer Learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.493392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab094ae-6468-4c28-b6cd-37cc0ade6e76 · outbound

This paper cites Understanding the Failure Modes of Out-of-Distribution Generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Understanding the Failure Modes of Out-of-Distribution Generalization

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.500637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2d28782-619f-48b7-ad0e-b15df1fa8945 · outbound

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

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Reading digits in natural images with unsupervised feature learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.507614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00fdbeb8-ed1c-450e-a31a-480c00b6a7e2 · outbound

This paper cites Exploring generalization in deep learning.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Exploring generalization in deep learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.818054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 18d10ae7-20aa-4fef-aa81-43a8caa9ba25 · outbound

This paper cites What is being transferred in transfer learning? Advances in neural information processing systems , 33:512--523, 2020.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation What is being transferred in transfer learning? Advances in neural information processing systems , 33:512--523, 2020

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.801471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d99ef8d-97f0-44bb-ba89-512b3f532e5d · outbound

This paper cites In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.529193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6118f32f-0ac1-4c2d-84a8-a345c46c002c · outbound

This paper cites Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.783947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 57750ace-17da-4b2f-8cb4-d1b26c103a44 · outbound

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

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Moment matching for multi-source domain adaptation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.541335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c071945a-e962-49f8-9ce9-5fbfb9c5ae90 · outbound

This paper cites Visda: The visual domain adaptation challenge, 2017.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Visda: The visual domain adaptation challenge, 2017

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.756309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c3b1a04-0456-491c-bb2c-77a7967d46d6 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Learning transferable visual models from natural language supervision

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.738806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8a32a7a0-1502-4f3d-ab2b-c6dced5c4320 · outbound

This paper cites Diverse Weight Averaging for Out-of-Distribution Generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Diverse Weight Averaging for Out-of-Distribution Generalization

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.559635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e12fd6f6-e1f1-4c82-bea6-dfb89a0b2eb5 · outbound

This paper cites Ensembles of locally independent prediction models.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Ensembles of locally independent prediction models

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.722015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0008d2e0-8b17-4d73-bfa4-9b66e6c222cd · outbound

This paper cites Optimal Representations for Covariate Shift.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Optimal Representations for Covariate Shift

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:35:39.050115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d4fd767-ede9-4920-b90e-4e66be3da922 · outbound

This paper cites Labelme: a database and web-based tool for image annotation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Labelme: a database and web-based tool for image annotation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.704101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 439edcdb-b026-412f-aa70-3dc419da730e · outbound

This paper cites Out-of-domain detection based on generative adversarial network.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Out-of-domain detection based on generative adversarial network

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.686797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2adfba1a-1e8c-4baa-9552-ce26280f8fa6 · outbound

This paper cites Ensemble learning: A survey.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Ensemble learning: A survey

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.670498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 70f0cdd7-2b68-4be4-bf67-83cf0b9efa3d · outbound

This paper cites Semi-supervised domain adaptation via minimax entropy.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Semi-supervised domain adaptation via minimax entropy

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.654555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 18d4095b-73bb-446b-bc44-b579b543a2df · outbound

This paper cites Maximum classifier discrepancy for unsupervised domain adaptation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Maximum classifier discrepancy for unsupervised domain adaptation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.637837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 45ff0c43-5c54-4450-bed5-46f27e13a4e9 · outbound

This paper cites Toward causal representation learning.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Toward causal representation learning

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.603898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe160179-ed2f-4fac-aee6-bae515007581 · outbound

This paper cites Visual Representation Learning Does Not Generalize Strongly Within the Same Domain.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.609537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20db9624-5682-4a56-97e9-c16c335ab6ef · outbound

This paper cites The pitfalls of simplicity bias in neural networks.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation The pitfalls of simplicity bias in neural networks

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.610593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85ad51f8-2af0-4435-baad-591668e3727d · outbound

This paper cites Return of Frustratingly Easy Domain Adaptation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Return of Frustratingly Easy Domain Adaptation

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.622462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25a43e7-2cd1-4d8a-9110-d9a1bf68631d · outbound

This paper cites Intriguing properties of neural networks.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Intriguing properties of neural networks

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.629329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8f9ceb-fb6c-463b-8c4a-322aec4570dc · outbound

This paper cites Evading the simplicity bias: Training a diverse set of models discovers solutions with superior ood generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Evading the simplicity bias: Training a diverse set of models discovers solutions with superior ood generalization

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.594244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e34754b3-28c0-4df8-9257-2b205a4266ca · outbound

This paper cites Few-shot domain adaptation by causal mechanism transfer.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Few-shot domain adaptation by causal mechanism transfer

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.576798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8d9e9db3-4631-49b7-b812-ce045c504f52 · outbound

This paper cites Adversarial discriminative domain adaptation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Adversarial discriminative domain adaptation

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.558425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df0be615-7fd0-4c60-b098-c37f2d196094 · outbound

This paper cites Visualizing data using t-sne.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Visualizing data using t-sne

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.651553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb3ed075-88ba-4243-9504-facded6a0107 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Deep hashing network for unsupervised domain adaptation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.656543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70d8c491-ea24-4ebb-bc15-a705e0241186 · outbound

This paper cites Multimodal Self-Supervised Learning of General Audio Representations.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Multimodal Self-Supervised Learning of General Audio Representations

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.665212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f013744e-5a1c-4c91-b8fd-8374001e7fb5 · outbound

This paper cites Robustness to corruption in pre-trained Bayesian neural networks.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Robustness to corruption in pre-trained Bayesian neural networks

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:35:38.935718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9adf8f6e-ab7c-4549-add8-677666da1643 · outbound

This paper cites Assaying Out-Of-Distribution Generalization in Transfer Learning.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Assaying Out-Of-Distribution Generalization in Transfer Learning

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.676977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268b10e7-bf92-4a68-a831-5378e2ed10f9 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.518331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c0c1cdc2-d55b-4cfd-95f7-faedd9a7f192 · outbound

This paper cites Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:35:38.889329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eace7a95-a835-45f7-be50-a9ddc999b708 · outbound

This paper cites How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.694920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e28735-0e98-4b5a-9944-3dc25754ea5a · outbound

This paper cites d-sne: Domain adaptation using stochastic neighborhood embedding.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation d-sne: Domain adaptation using stochastic neighborhood embedding

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.501028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e5a7b48-5566-4767-81f4-b91b2795c089 · outbound

This paper cites Billion-scale semi-supervised learning for image classification.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Billion-scale semi-supervised learning for image classification

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.708075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2901452-107e-43ac-8eb9-beb465eaba41 · outbound

This paper cites Improved ood generalization via adversarial training and pretraing.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Improved ood generalization via adversarial training and pretraing

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:39.483145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9be21701-6cbf-4086-8b83-26d71a7f4190 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.721114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d102dfdb-662c-4b7e-ba27-26f4d7400bc3 · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Understanding deep learning (still) requires rethinking generalization

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.727409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers