Latest Articles for Machine Learning

A new method improves DNN security without clean data.

YOLOv8 enhances real-time object detection with advanced features and improved performance.

Researchers improve solar flare predictions using new methods and loss function.

SITransformer improves how we summarize information from videos and text.

Neural models N-HiTS and N-BEATS outperform traditional methods in market predictions.

Learn how signatures simplify complex data for better insights.

A new system enhances extractive summarization using Large Language Models.

Research on training language models for underrepresented languages efficiently.

A new method improves robot navigation in agricultural environments using loop detection.

This paper investigates the sudden shift in learning ability of neural networks.

A new method to assess and compare the knowledge of language models.

fastkqr enhances quantile regression speed and accuracy while managing crossing issues.

A new method improves evolutionary tree construction using deep learning.

This study enhances action recognition by merging depth maps with RGB video frames.

A new method improves panorama creation using the Merge-Attend-Diffuse operator.

A look into weight transfer techniques and their impact on neural network training.

CoT-SelfEvolve enhances code creation by refining outputs through feedback.

Discover how Realigned Softmax Warping is reshaping DML.

A model for organizing knowledge graphs through entity clustering and hierarchical structures.

Introducing a novel algorithm to identify causal relationships amidst hidden variables.

Learn how cGANs provide targeted image generation using additional information.

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.