Latest Articles for Performance

Lasso helps identify important data in complex datasets.

QuickSRNet improves mobile image quality and processing speed for gaming applications.

CrossFit competitions showcase increased female participation and performance growth over the years.

A new suite evaluates optimization algorithms for GPU performance.

A new perspective using information theory to assess algorithm performance on unseen data.

Bayesian learning enhances the reliability of autonomous robots in dynamic environments.

A look at strategies to improve DHN design for better performance and cost savings.

A new approach to improve performance and resource allocation in WSCs.

Exploring AdaSAM's impact on machine learning model training efficiency and performance.

New tools enhance the accuracy of answering questions using table data.

A method for efficiently adapting deep learning models for new tasks.

Reflexion enhances decision-making agents by enabling self-reflection and learning from past actions.

Better documentation for AI is essential for accountability and understanding.

A look at improving fexprs' performance through partial evaluation in Lisp programming.

Discover how clustering and advanced techniques improve investment decisions.

A new method enhances reliability in detecting anomalies within wireless networks.

This study benchmarks AI models in diverse language tasks.

The SciRoc competition tests robots in real and simulated coffee shop environments.

A new method combines level set techniques and neural networks for efficient design.

MIST improves clustering accuracy in complex datasets without requiring prior knowledge.

A new approach to optimize prompts in language models using predictive bias.

A new model aids in studying DRAM caches and their role in memory systems.

Examining how Age of Information impacts communication efficiency in various fields.

New method enhances prediction reliability in object detection models.

Introducing ActiveFT, an efficient method for selecting samples in active finetuning.

Research on LGADs shows promise for radiation resilience in particle detection.

Using machine learning to optimize storage formats for sparse matrices.

This study assesses XGBoost's performance on fraud detection with various data sets.

Pgx offers rapid and efficient game simulation for AI research across various board games.

A tool that rewrites code to enhance data analysis performance effortlessly.

This study examines how starting close to criticality affects the adaptability of neural agents.

A new method improves efficiency in finding smaller neural networks.

Exploring advances in wireless control of hydraulic systems.

Discover how grounding size affects ASP performance and optimization techniques.

A new method enhances the training of Feedforward Neural Networks through smart heuristic selection.

Exploring data-driven methods for managing complex nonlinear machines effectively.

A new method improves backlit image enhancement without needing paired data.

New methods enhance coflow scheduling to better meet critical deadlines in data centers.

Researching intelligent machines that can process visual information effectively.

A new method to improve learning in multi-agent systems through selective experience reuse.