Latest Articles for Machine Learning

New methods improve speed and accuracy in labeling images.

New approaches enhance predictive control for complex systems using machine learning.

A new method enhances action recognition in drone videos by selecting important frames.

An innovative approach to aligning videos without prior examples or training.

Research shows structured pruning enhances performance of multi-task deep learning models.

KD-DLGAN enhances image generation quality using knowledge distillation.

Exploring new methods to improve learning from limited data.

PointCLIMB allows machines to learn from point clouds without losing past knowledge.

This study examines the benefits of retrieval in enhancing language model performance.

RoboBEV benchmark evaluates BEV systems against real-world challenges.

RLOR enhances deep reinforcement learning for adaptable operations research solutions.

Exploring methods that clarify deep learning model decisions.

Using visual prompts like red circles can enhance AI image processing.

A new method boosts gesture classification, handling both known and untrained gestures effectively.

A study on portfolio optimisation with transaction and holding costs integrated.

Discover how PCFGs and LLMs are transforming language technology.

This study explores the use of DRL to enhance assembly sequence planning.

New method automates wheel checks during car production for safety and quality.

New model improves radar data processing for better object detection.

Improving Spiking Neural Networks through innovative knowledge sharing techniques.

A look into NAS benchmarks and their impact on neural network design.

Introducing Zoom-VQA, a method for assessing video quality at multiple levels.

This framework uses test-time adaptation for better predictions of human movements.

A new method identifies actions in videos without needing pre-labeled data.

This study compares single and mixed models for more accurate crowd counting.

This article discusses how PAC-Bayesian bounds enhance predictions for LTI systems using finite data.

Learn how KalT-ESN enhances predictions despite data noise.

A novel framework improves approximate inference in probabilistic graphical models.

New method improves multimedia retrieval by combining various data types effectively.

A look at how machines learn decision-making under uncertainty.

New approaches to improve efficiency in deep neural networks.

Research aims to enhance data representation using nonlinear methods and temporal structures.

ALR-GAN improves image quality and layout from text descriptions efficiently.

A new approach improves predictions of molecular properties using machine learning.

EWT combines wavelet transforms and Transformers for improved image clarity and efficiency.

New methods enhance model reliability in the face of adversarial attacks.

A new framework enhances DRL agents for autonomous driving in real environments.

A new method for optimizing machine learning while maintaining orthogonality efficiently.

A new approach to categorize unlabelled images effectively.

A look at advancements in speech recognition models for efficiency and accuracy.