domain generalization - Robuta Search

https://ccsenet.org/journal/index.php/nct/article/view/0/48401 Analyzing Out-of-Domain Generalization Performance of Pre-Trained Segmentation Models | Zhong |... Analyzing Out-of-Domain Generalization Performance of Pre-Trained Segmentation Models out of domain generalization analyzing https://openreview.net/forum?id=mrt90D00aQX FedSR: A Simple and Effective Domain Generalization Method for Federated Learning | OpenReview We propose a domain generalization learning method suitable for federated learning by implicit representation alignment simple and effective domain generalization https://openreview.net/forum?id=5hVXbiEGXB&referrer=%5Bthe%20profile%20of%20Chi%20Harold%20Liu%5D(%2Fprofile%3Fid%3D~Chi_Harold_Liu1) Evolving Standardization for Continual Domain Generalization over Temporal Drift | OpenReview The capability of generalizing to out-of-distribution data is crucial for the deployment of machine learning models in the real world. Existing domain... domain generalization evolving standardization continual temporal https://arxiv.org/abs/2304.10226v5 [2304.10226v5] Domain Generalization for Mammographic Image Analysis with Contrastive Learning Abstract page for arXiv paper 2304.10226v5: Domain Generalization for Mammographic Image Analysis with Contrastive Learning domain generalization image analysis 2304 https://openreview.net/forum?id=zkHlu_3sJYU SWAD: Domain Generalization by Seeking Flat Minima | OpenReview Domain generalization is achievable by seeking flat minima. We theoretically and empirically demonstrate this claim. domain generalization swad seeking flat minima https://openreview.net/forum?id=6xHJ37MVxxp Domain Generalization with MixStyle | OpenReview Though convolutional neural networks (CNNs) have demonstrated remarkable ability in learning discriminative features, they often generalize poorly to unseen... domain generalization openreview https://deepai.org/publication/invariant-information-bottleneck-for-domain-generalization Invariant Information Bottleneck for Domain Generalization | DeepAI Jun 11, 2021 - 06/11/21 - The main challenge for domain generalization (DG) is to overcome the potential distributional shift between multiple training doma... information bottleneck domain generalization invariant deepai https://arxiv.org/html/2512.10224v1 Federated Domain Generalization with Latent Space Inversion domain generalization latent space federated inversion https://openreview.net/forum?id=Zz7eZoR1VN Are all classes created equal? Domain Generalization for Domain-Linked Classes | OpenReview all classes created equal domain generalization linked openreview https://aclanthology.org/2023.findings-acl.810/ Domain Generalization via Switch Knowledge Distillation for Robust Review Representation - ACL... You Zhang, Jin Wang, Liang-Chih Yu, Dan Xu, Xuejie Zhang. Findings of the Association for Computational Linguistics: ACL 2023. 2023. domain generalization knowledge distillation via switch https://midog2025.grand-challenge.org/ Mission Statement - Mitosis Domain Generalization Challenge 2025 - Grand Challenge mission statement domain generalization mitosis challenge 2025 https://deepai.org/publication/mitigating-both-covariate-and-conditional-shift-for-domain-generalization Mitigating Both Covariate and Conditional Shift for Domain Generalization | DeepAI Sep 17, 2022 - 09/17/22 - Domain generalization (DG) aims to learn a model on several source domains, hoping that the model can generalize well to unseen ta... domain generalization mitigating covariate conditional shift https://openreview.net/forum?id=IjZa2fQ8tL&referrer=%5Bthe%20profile%20of%20Jungwuk%20Park%5D(%2Fprofile%3Fid%3D~Jungwuk_Park1) StableFDG: Style and Attention Based Learning for Federated Domain Generalization | OpenReview Traditional federated learning (FL) algorithms operate under the assumption that the data distributions at training (source domains) and testing (target... domain generalization style attention based https://openreview.net/forum?id=pofbRo9STT- OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization | OpenReview We propose a probing framework that reveals interesting patterns in OOD generalization algorithms. domain generalization ood probe neural interpretation https://deepai.org/publication/invariant-content-synergistic-learning-for-domain-generalization-of-medical-image-segmentation Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation |... May 5, 2022 - 05/05/22 - While achieving remarkable success for medical image segmentation, deep convolution neural networks (DCNNs) often fail to maintain... domain generalization medical image invariant content synergistic https://openreview.net/forum?id=8btzvHmSfU Learning to ignore: Single Source Domain Generalization via Oracle Regularization | OpenReview Machine learning frequently suffers from the discrepancy in data distribution, commonly known as domain shift. Single-source Domain Generalization (sDG) is a... single source domain generalization learning ignore https://openreview.net/forum?id=dymW0lSWVIN&referrer=%5Bthe%20profile%20of%20David%20Suter%5D(%2Fprofile%3Fid%3D~David_Suter1) Single Domain Generalization via Normalised Cross-correlation Based Convolutions | OpenReview Deep learning techniques often perform poorly in the presence of domain shift, where the test data follows a different distribution than the training data. The... single domain cross correlation generalization via normalised https://openreview.net/forum?id=IVNfzlFUJY&referrer=%5Bthe%20profile%20of%20Prasanna%20Mayilvahanan%5D(%2Fprofile%3Fid%3D~Prasanna_Mayilvahanan2) In Search of Forgotten Domain Generalization | OpenReview Out-of-Domain (OOD) generalization is the ability of a model trained on one or more domains to generalize to unseen domains. In the ImageNet era of computer... in search of domain generalization forgotten openreview https://deepai.org/publication/on-device-domain-generalization On-Device Domain Generalization | DeepAI Sep 15, 2022 - 09/15/22 - We present a systematic study of domain generalization (DG) for tiny neural networks, a problem that is critical to on-device mach... on device domain generalization deepai https://openreview.net/forum?id=jeNWwtIX71&referrer=%5Bthe%20profile%20of%20Shuangyong%20Song%5D(%2Fprofile%3Fid%3D~Shuangyong_Song2) Provable Domain Generalization via Information Theory Guided Distribution Matching | OpenReview Domain generalization (DG) aims to learn predictors that perform well on unseen data distributions by leveraging multiple related training environments. To... domain generalization information theory provable via guided https://midog2022.grand-challenge.org/ Midog2022 - Mitosis Domain Generalization Challenge - MItosis DOmain Generalization Challenge 2022... domain generalization mitosis challenge 2022 https://openreview.net/forum?id=nNN1pPJRVL Domain Generalization for Time Series: Enhancing Drilling Regression Models for Stick-Slip Index... This paper provides a comprehensive comparison of domain generalization techniques applied to time series data within a drilling context, focusing on the... domain generalization for time https://deepai.org/publication/recognition-in-unseen-domains-domain-generalization-via-universal-non-volume-preserving-models Recognition in Unseen Domains: Domain Generalization via Universal Non-volume Preserving Models |... May 28, 2019 - 05/28/19 - Recognition across domains has recently become an active topic in the research community. However, it has been largely overlooked ... domains domain https://openreview.net/forum?id=nwZa0C4d8G ERM++: An Improved Baseline for Domain Generalization | OpenReview Multi-source Domain Generalization (DG) measures a classifier's ability to generalize to new distributions of data it was not trained on, given several... domain generalization erm improved baseline openreview https://deepai.org/publication/a-style-and-semantic-memory-mechanism-for-domain-generalization A Style and Semantic Memory Mechanism for Domain Generalization | DeepAI Dec 14, 2021 - 12/14/21 - Mainstream state-of-the-art domain generalization algorithms tend to prioritize the assumption on semantic invariance across domai... semantic memory domain generalization style mechanism deepai https://openreview.net/forum?id=mB_V8ThxY8Z Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer | OpenReview Domain generalization has become a heated topic in the literature of deep learning. It has great impact on medical image analysis as the inconsistency of data... domain generalization vector field retinal vessel https://deepai.org/publication/source-data-selection-for-out-of-domain-generalization Source data selection for out-of-domain generalization | DeepAI Feb 4, 2022 - 02/04/22 - Models that perform out-of-domain generalization borrow knowledge from heterogeneous source data and apply it to a related but dis... data selection for out of domain generalization source deepai https://openreview.net/forum?id=WNy1ooHYHx Consistency Regularization for Domain Generalization with Logit Attribution Matching | OpenReview Domain generalization (DG) is about training models that generalize well under domain shift. Previous research on DG has been conducted mostly in single-source... domain generalization consistency regularization logit attribution https://deepai.org/publication/hcdg-a-hierarchical-consistency-framework-for-domain-generalization-on-medical-image-segmentation HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation... Sep 13, 2021 - 09/13/21 - Modern deep neural networks struggle to transfer knowledge and generalize across domains when deploying to real-world applications... https://openreview.net/forum?id=V7BvYJyTmM Gated Domain Units for Multi-source Domain Generalization | OpenReview The phenomenon of distribution shift (DS) occurs when a dataset at test time differs from the dataset at training time, which can significantly impair the... multi source gated domain units generalization https://openreview.net/forum?id=IgpMs357b5 Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization | OpenReview The proliferation of pretrained models, as a result of advancements in pretraining techniques, has led to the emergence of a vast zoo of publicly available... https://openreview.net/forum?id=DdglKo8hBq0 KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain... Humans are remarkably capable of zero-shot generalizing while performing tasks in new settings, even when the task is learned entirely from observing others.... zero shot https://deepai.org/publication/style-hallucinated-dual-consistency-learning-a-unified-framework-for-visual-domain-generalization Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization... Dec 18, 2022 - 12/18/22 - Domain shift widely exists in the visual world, while modern deep neural networks commonly suffer from severe performance degradat...