Latest Articles for Machine Learning

Examining energy management techniques in complex systems across various fields.

A new method enhances variational inference efficiency and accuracy.

Learn about the efficiency of generative retrieval in document searching.

This article presents a new method to improve few-shot class-incremental learning.

The PGIR survey identifies and classifies numerous Long Period Variable Stars using machine learning.

This paper reviews the integration of geometric methods and deep learning in depth estimation.

TransformMix improves data augmentation by preserving essential features in mixed images.

This article discusses a new method for enhancing Extreme Learning Machines in various applications.

A novel approach improves precision in shape-morphing device control using deep learning.

Exploring new models for better graph data analysis.

Researchers propose training models on altered images to minimize copyright issues.

Introducing an algorithm for better decision-making with uncertain rewards in complex scenarios.

Molecular shapes impact drug design and interactions.

How machine learning enhances audit sampling methods in data-rich environments.

A new approach combining weight and token pruning for efficient image processing.

Examining how large models efficiently learn from minimal data.

A comprehensive method for selecting effective counterfactuals in machine learning models.

New methods improve OIE performance by integrating linguistic features.

This article presents a new method for improving visual grounding by merging data and model knowledge.

An overview of how machines learn from video data and the challenges they face.

New methods enhance music score reading and interpretation.

A semi-supervised approach improves classification of motor imagery from EEG data.

Federated learning enhances cooperation between autonomous vehicles in challenging weather.

A new model enhances understanding and adaptability in AI decision-making.

Reinforcement learning improves testing methods for autonomous driving safety.

A new method for effective weight optimization in multi-objective machine learning tasks.

Differentiable logics enhance machine learning through improved formal verification and training techniques.

DVMNet enhances object pose estimation for unseen objects with new techniques.

GROS combines multiple estimators for improved accuracy in data analysis.

Research shows how location tokens enhance spatial reasoning in text-only language models.

MIM-Reasoner optimizes information spread across multiple social media platforms.

This method enhances StyleGAN's efficiency while preserving image variety.

A new method to protect machine learning models from malicious data attacks.

A novel approach to decision-making using minimal samples.

A study reveals new techniques for backdoor attacks on language models with minimal impact.

New method improves user behavior representation and engagement.

Improving motion prediction techniques for safer autonomous driving systems.

A new framework enhances logical reasoning for large language models using Lean.

A new method improves image quality affected by speckle noise using machine learning.

This article discusses the benefits of RoPE for Vision Transformers in various tasks.