Latest Articles for Machine Learning

A new method improves quantum circuit efficiency using machine learning and tensor networks.

A new training method enhances 3D object detection using synthetic and real-world data.

Explore federated learning's approach to privacy in machine learning.

A new method enhances speed accuracy for self-driving race cars.

A new method enhances learning from varied quality datasets in offline RL.

Researchers improve large language models using self-improvement with code-based methods.

A method to speed up text generation without losing quality.

This study evaluates Neural Cellular Automata's role in medical image segmentation.

INK provides a reliable method for identifying out-of-distribution samples in machine learning.

ConsistencyTrack enhances object tracking in videos using innovative noise handling techniques.

Kangaroo improves video analysis by integrating visuals, sounds, and text effectively.

Introducing LRP4RAG, a method to better detect hallucinations in language models.

This paper presents a single-encoder model for improved image segmentation based on text descriptions.

New methods improve voice separation in noisy environments.

Analyzing the impact of quaternion-based components on image classification performance.

MAPF-GPT offers an innovative approach to solving multi-agent pathfinding challenges using machine learning.

This study uses machine learning to identify strange-quark jets and improve fragmentation tagging.

FPDT offers a solution for training long-context LLMs more efficiently.

MemLong improves language models' ability to handle lengthy texts effectively.

A look at how transfer learning impacts model performance through scaling laws.

A novel method to explain predictions in spatially dependent data using Random Forest.

Research shows robots can improve learning using motion patterns from previous tasks.

Exploring the challenges of Multi-Task and Continual Learning in machine learning.

A new method for extracting events from Portuguese narratives using advanced models.

A new method enhances the performance of Bayesian neural networks through symmetrization.

This work improves coreference resolution across languages with a new dataset and methods.

A new approach enhances image quality in multimodal VAEs using diffusion decoders.

A new method enhances neural networks for solving complex physics equations.

A new approach to improve fairness and accuracy in facial recognition.

A look into the evolving field of topological deep learning models and their strengths.

A new method for reducing complex graphs while retaining key features for classification.

A new method enhances video generation quality and efficiency.

A new method improves precision in localized image edits using diffusion models.

New methods improve tensor completion accuracy with fewer samples.

A new framework enhances image captioning accuracy and reduces errors.

PINNs merge physics with data to solve complex scientific problems efficiently.

PromptSmooth improves Med-VLMs' accuracy against adversarial attacks efficiently.

Study reveals cheaper models may produce better training data for reasoning tasks.

A new approach enhances video data handling while maintaining performance in real-time applications.

Dynamic Neural Dowker Network enhances analysis of evolving directed graphs.