Latest Articles for Performance

A new network design can reduce costs in training large language models while maintaining performance.

Learn how counterfactual explanations enhance decision-making in reinforcement learning agents.

A new method for designing sound filters with wider frequency handling.

Examining the gap between model performance and real-world conditions.

Discover how to improve efficiency in machine learning and data processing.

MorphStream improves data stream management for real-time applications.

Investigating fairness in ML systems considering multiple protected attributes.

New methods improve watermarking in AI-generated text without sacrificing quality.

Learn how ensemble learning improves prediction accuracy despite noise.

New AI tool shows promise in cervical cancer diagnosis and screening accuracy.

A look at how k-means++ handles noise in data clustering.

Introducing a framework to simplify sparse regularization through smooth optimization techniques.

Examining flu forecasting accuracy and methods over recent seasons.

This article examines how language models generate Verilog code effectively.

A new method improves predictions of moving agents' paths in transportation.

Recent developments enhance WPO efficiency in proving program termination.

The study examines our ability to estimate average quantities from dynamic visual stimuli.

Investigating the reliability and output stability of quantum computers amidst noise challenges.

Using multiple descriptions improves knowledge graph performance and understanding.

New methods enhance retrieval of relevant legal precedents using paragraph-level comparisons.

This study examines how algorithm components affect performance in multiobjective optimization.

A structured approach enhances financial language model performance through quality data.

RS-CNN offers a new approach to quantify uncertainty in machine learning predictions.

A closer look at how generative models behave and what it means for research.

A new method improves sensor selection efficiency in diverse networks.

PATRONoC improves data transfer efficiency in deep learning applications.

CLAA improves API review categorization for better developer insights.

New methods reduce model size while maintaining performance in computer vision tasks.

Camoscio is a new language model tailored for Italian users, enhancing research opportunities.

New XAI-CHEST scheme enhances channel estimation transparency and performance in communication.

A look at how the 2-opt heuristic optimizes travel routes efficiently.

A new method improves fairness in medical imaging predictions.

Exploring trust dynamics in human-robot teamwork for better collaboration.

A new Python package simplifies downsampling large time series datasets for better visualization.

A new approach to processing PDF documents efficiently and accurately.

New methods improve object detection systems' resistance to adversarial changes.

The Faive Hand mimics human movement for advanced robotic manipulation.

A new automatic scheduler improves performance for image processing on edge devices.

Aggregate Query Sculpting simplifies data analysis through interactive visualization techniques.

Whisper-AT combines speech recognition and audio tagging for improved performance.