Latest Articles for Pruning

Examining new methods to enhance neural network efficiency and security.

Learn how model compression improves efficiency of large language models.

New methods improve neural network performance on limited-resource devices.

A novel approach to create decision trees for complex systems without prior knowledge.

This article discusses the benefits of simplifying transformer models for speech tasks.

Introducing FedFT, a method to improve communication in Federated Learning.

HESSO simplifies model compression, making neural networks more efficient without losing performance.

A new approach speeds up processing in large language models for better performance.

Exploring a novel proof for the B-series composition theorem using unlabelled trees.

Personalized systems enhance monitoring of health and behavior through adjusted models.

Examining how SSL models memorize data points and its implications.

Analyzing the effects of pruning methods on GoogLeNet's performance and interpretability.

Innovative methods aim to make large language models more efficient and deployable.

Innovative methods for improving neural networks with less computing power.

MicroScopiQ improves AI models' performance while consuming less energy.

QuanCrypt-FL enhances security in Federated Learning using advanced techniques.

A new approach improves clarity in computer language models.

ZipNN compresses AI models efficiently, keeping essential details intact.

AI tools like ChatGPT face energy efficiency challenges that need solutions.

Keeping AI conversations safe on the go with Llama Guard.

A new method improves efficiency in machine learning data processing.

A new method to optimize large language models efficiently.

Discover how EAST optimizes deep neural networks through effective pruning methods.

Research shows how to compress diffusion models while maintaining quality.

A new method leverages gravity concepts to effectively prune deep convolutional neural networks.

Learn how pruning methods, especially SNOWS, are making AI models more efficient.

VDMini model enhances video generation speed without sacrificing quality.

A new method for efficiently pruning image-generating AI models while preserving quality.

Learn how pruning boosts efficiency and performance in neural networks.

Exploring bivariate bicycle codes and their impact on quantum computing.

Discover how technology is transforming apple orchard management with smart models.

Discover how TC3DGS improves dynamic scene graphics efficiency.

Discover how iterative magnitude pruning transforms neural networks for efficiency and performance.

MOFHEI transforms machine learning for better privacy and efficiency.

Learn how adaptive dropout improves efficiency in speech recognition systems.

TinySubNets offers efficient continual learning for machines.

Innovative pruning techniques make AI models more efficient and effective.

New methods make language models faster and more efficient for real-world tasks.

Discover how pruning enhances Transformer models for effective time series forecasting.

Researchers reveal effective strategies for training Large Vision-Language Models.