Latest Articles for Computational Efficiency

A system that optimizes calculations for sparse matrices using blocked storage.

This study assesses surrogate models for efficiency and accuracy in optimization tasks.

A new method enhances LLM efficiency in handling long inputs without retraining.

A new approach enhances efficiency in solving complex overlapping issues.

A new method to speed up language models in natural language processing.

Explore performance modeling to enhance efficiency in multi-GPU machine learning training.

A new method enhances efficiency and accuracy in nearest neighbor searches.

A new method improves SVM training speed and accuracy with large datasets.

Discover a new method for efficient neural architecture search through graph-based evaluations.

A new system improves efficiency in analyzing graph data patterns.

New methods improve download rates and efficiency in secret sharing.

Study reveals how standard DRAM chips can perform complex calculations efficiently.

A new method speeds up training of complex models.

ASMR reduces inference costs while improving data reconstruction quality.

I2CL improves efficiency and performance in language model tasks.

A new method enhances efficiency in document ranking tasks.

Techniques for refining data in machine learning for better efficiency and accuracy.

A method that customizes graph sparsification for better neural network performance.

Box-NN enhances model performance against adversarial challenges with simplicity and efficiency.

A method combining low-rank and orthogonal adaptations for AI models.

MoEUT improves Universal Transformers' efficiency and performance in language tasks.

New methods for training large language models more efficiently emerge.

Exploring tensor attention and its impact on data processing in AI models.

Introducing a method for selecting subdata to improve classification accuracy.

A new method enhances sequence data processing using state-space models and transfer functions.

A new approach enhances graph embeddings by focusing on dimension management.

A new method to enhance Push-Relabel algorithm efficiency using predicted flow.

A new approach to enhance array performance in programming.

A new approach to enhance CTR prediction models while reducing size and improving speed.

New methods improve quantum computing efficiency and applications in chemistry.

New methods improve efficiency for identifying dense subgraphs in large datasets.

A new method enhances fine-tuning efficiency and reduces memory usage for large language models.

A new approach to enhance small language models using sparse activation techniques.

A new weight decay method enhances sparsification in neural networks.

Explore the innovative method of linking user queries directly to documents.

A look at models that operate without matrix multiplication for better efficiency.

A new approach enhances SNNs by converting ANNs effectively.

New algorithms enhance feature selection speed and accuracy in statistical models.

Learn how to train models for text embeddings wisely and effectively.

RefQD improves resource efficiency in QD algorithms for diverse solution generation.