Latest Articles for Machine Learning

A novel method enhances AKNN searches for better speed and accuracy.

Learn how quantization helps optimize large language models for everyday use.

Explore the significance of the Cayley transform in Lie group representations.

A novel approach enhances model learning from varied image data.

A framework combining structural and semantic information enhances knowledge graph completion.

An overview of training vision-language models and their significance.

This article discusses the role of graphs in few-shot class incremental learning.

Learn how scientists are training robot cars to drive safely off-road.

Learn how online scaling improves gradient descent efficiency.

Research shows SNNs may enhance data privacy over traditional models.

A new model enhances predictions of composite material properties.

SpectraFM combines synthetic training with real data for smarter star analysis.

Examining the challenges of creating robots with human-like intelligence.

Learn how defect prediction can enhance software development processes.

Learn how superpixel segmentation makes image analysis easier for machines.

A guide to speeding up large language model training with parallelism and memory management.

Using machine learning to clarify the significance of genetic variants.

A new approach improves how computers learn from experience.

A new framework enhances reasoning in language models with quality rationales.

PKF improves object tracking accuracy in complex environments.

Reducing language model size without losing intelligence.

A fresh method helps robots learn to walk more effectively.

Discover the importance of classifier disagreement in improving model performance.

A new version of Xception that works efficiently on limited devices.

This study examines mortality prediction in older adults using a 1D-CNN model.

A new model enhances VQA by providing detailed explanations for educational content.

FM-TS simplifies time series generation with speed and efficiency.

OneProt combines various data types to enhance protein research efficiency.

Using machine learning to analyze survey non-responses in older adults during the pandemic.

Discover how machine learning reveals dual descriptions in lattice models.

Research on algorithms aims to improve particle accelerator efficiency and performance.

BudgetMLAgent combines small models for cost-effective machine learning solutions.

KALE combines images with rich captions for better understanding.

A look at deep learning behaviors and their explanations.

A new method improves data clustering efficiency and accuracy.

ClipFL enhances federated learning by removing noisy devices for better performance.

BeeManc team utilized advanced models to simplify complex medical texts at PLABA-2024.

Examining the line between AI-generated and human-written scientific papers.

Learn how to tackle label noise in machine learning for better accuracy.

Using smaller models to speed up training for larger language models.