Latest Articles for Machine Learning

Exploring the role of surrogate models in improving aircraft design efficiency.

A novel method enhances data representation for quantum computers in machine learning.

This study improves classifier performance through targeted strategies in Multi-Instance Partial Label Learning.

Exploring new methods in audio compression for improved sound quality.

BMach algorithm improves accuracy in predicting electronic properties of materials.

CREST improves AI text generation by compacting data storage while maintaining performance.

Using advanced techniques to spot galaxy mergers in JWST images.

A detailed look at training and dynamics in machine learning.

A new model improves the detection of stellar flares using deep learning techniques.

Study reveals how minor changes affect contextual word embeddings.

This study leverages machine learning for improved particle analysis.

Utilizing language models to enhance vulnerability detection datasets.

Examining a new framework to improve algorithm performance in trading.

Combining HW-NAS and ACO for efficient neural networks.

New framework for NPUs enhances resource sharing and reduces costs.

A fresh approach to recognizing object attributes through language models.

Tree Attention improves efficiency in processing long sequences for machine learning models.

AEye helps users explore and analyze large image datasets effectively.

NAVINACT blends motion planning and learning for efficient robotic tasks.

A new method predicts therapeutic proteins based on FDA-approved data.

Learn how subgraph queries enhance graph analysis and data predictions.

A new method for better prediction sets using multiple score functions.

A new method tackles complex min-max optimization problems effectively.

A new method improves causal discovery accuracy using automated kernel selection.

A system to convert mathematical images into readable LaTeX text.

New methods enhance VLMs' ability to see image details.

ASkotch enhances kernel ridge regression efficiency for large datasets.

Improved techniques enhance food image classification for better dietary insights.

A framework to improve efficiency in multitask learning through adaptive model compression.

A tool to streamline the analysis of large 3D biological images.

Researchers leverage deep learning to classify transition metal dichalcogenides using AFM images.

A new framework aims to improve practices in sequential recommender systems research.

Researchers leverage deep learning to spot differences between male and female birds.

A new method improves parameter selection for complex-valued neural networks in digital communication.

A new method enhances image grouping by incorporating user input.

Target prompting enhances precision in extracting information from document images.

This article discusses counterfactual data augmentation in active learning for improved model performance.

A new method improves object detection in autonomous vehicles using vision and language.

A method for optimizing functions while respecting constraints in data analysis.

A new method enhances efficiency and performance of multimodal large language models.