10 stories tagged with #augmentation, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Montek Singh Ahluwalia to head Tamil Nadu Revenue Augmentation Committee
The Tamil Nadu government has constituted a Revenue Augmentation Committee under the chairmanship of Montek Singh Ahluwalia, economist, former Deputy Chairman of the Planning Commi…
Patient Guide to comparing breast augmentation costs
Patient Guide to comparing breast augmentation costs…
"Nous n'avons pas choisi d'être malades": les associations de patients dénoncent la "double peine" de l’augmentation du plafond des franchises médicales
Des associations de malades dénoncent la volonté du gouvernement de doubler le plafond annuel des franchises médicales. Et s'inquiètent des "efforts" demandés aux patients qui achè…
Mutuelles : vers des « augmentations des cotisations » ? 1,5 milliard d’euros de dépenses pourraient être transférés de la Sécu vers les assurés
La Mutualité Française dénonce un transfert de charges envisagé par le gouvernement qui risque d’alourdir la facture des assurés sociaux dès l’an prochain…
📄Paper: RORA-VLM: Robust Retrieval Augmentation for Vision Language Models
Public At International Conference on Learning Representations (ICLR) 2025 💡 Why I read...…
If you've ever wondered how rigorous data analysis+social science research can look with AI, I've finally launched a nice website for my open-source Claude Code researcher's toolkit: the Data Analyst Augmentation Framework! Equal parts interactive explainer on agentic orchestration + free tool
SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction
Joint Entity and Relation Extraction (JERE) is highly susceptible to weak generalization due to low-quality training data. Data augmentation is a common strategy to enhance model…
Do Synthetic Brain MRIs Reliably Improve Tumour Classification? A StyleGAN2-ADA Class-Plane Augmentation Study on BRISC 2025
Generative augmentation is often proposed as a remedy for small medical-image datasets, but synthetic images are only useful when they improve downstream task performance. "Augment…
Matching Principle: Adversarial, augmentation, etc. are estimators of one matrix
Robustness, domain adaptation, photometric and occlusion invariance, compositional generalisation, temporal robustness, alignment safety, and classical anisotropic regularisation a…
Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning
In search and recommendation systems, predictive models often suffer from temporal instability when certain input features introduce volatility in output scores. This instability c…