11 stories tagged with #aggregation, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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A Coreset Selection Framework with Ensemble Aggregation for Image Classification
The rapid growth of image data has produced large-scale datasets, raising concerns about the time and memory costs of model training. Selecting representative training subsets, how…
ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation
arXiv:2606.27736v1 Announce Type: new Abstract: The rapid spread of fake news poses increasing threats to information ecosystems, especially as AI-generated misinformation under Ge…
Multi-Stakeholder LLM Alignment: Decomposing Estimation from Aggregation
Multi-stakeholder tasks require one output to satisfy users with conflicting preferences. Holistic LLM judges conflate utility estimation and utility aggregation, yielding unstable…
On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach
Asynchronous decentralized federated learning (ADFL) eliminates central coordination and global synchronization, making it attractive for large-scale and heterogeneous systems. How…
Log Aggregation in .NET 8: Seq vs ELK vs Loki
I have seen the same setup at more companies than I can count: every service writing logs to stdout,...…
How to make your AI Agent 111x cheaper and 2.5x faster at data aggregation
Google recently released an incredibly fast new model — Gemini 3.5 Flash. As someone building...…
Rollup vs calculated columns in Dataverse: the async trap we fell for
A deal desk dashboard showed the running total of opportunities per account. Total amount per account...…
Faster or Stronger: Towards Flexible Visual Place Recognition via Weighted Aggregation and Token Pruning
Visual Place Recognition (VPR) aims to match a query image to reference images of the same place in a large-scale database. Recent state-of-the-art methods employ Vision Transforme…
Deploying inference endpoints with PD disaggregation on AMD GPUs
A walkthrough of deploying PD disaggregated inference on AMD GPUs with dstack and Shepherd Model Gateway (SMG), using SGLang workers and the Mooncake Transfer Engine.…
Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning
We propose Adaptive Multi-Scale Goodness Aggregation (AMSGA), a novel extension of the Forward-Forward (FF) algorithm designed to improve stability, robustness, and generalization …
I built 5 single-platform scrapers. The one that sells fastest is the aggregator that wraps them.
I run a small portfolio of public scrapers on the Apify Store. Most of them are single-platform — one...…