Latest Articles for Machine Learning

Improving machine learning methods to estimate free energy efficiently.

New methods enhance data transmission quality in optical systems.

Introducing new methods for image compression that improve machine learning efficiency.

Examining how adversarial attacks impact text and image classification models.

A method to estimate reliability of responses from large language models.

Discover how SNELL tackles memory challenges in machine learning fine-tuning.

SALSA improves AI training by blending multiple models for better interactions.

Learn how automatic pruning enhances learning models for smart devices.

A novel autoencoder improves graph representation learning across diverse applications.

Exploring the impact of unlearnable datasets on data privacy and machine learning.

A new approach enhances how machines learn about objects and their states.

A look at the challenges of distribution shift and its impact on predictions.

A look into Sharpness-Aware Minimization and its impact on learning models.

Learn how selective training can improve robot learning efficiency and adaptability.

Discover how safety guardrails protect smart models from harmful prompts.

Explore adaptive conformal inference and confidence predictors for reliable data predictions.

ROAD-Waymo enhances understanding of road actions for autonomous vehicles.

1-bit models show great potential in machine learning efficiency and performance.

Combining MLMC and GDMs improves efficiency in complex problem-solving.

Learn how DELE improves knowledge base completion with smart techniques.

Exploring how well AI understands human communication.

PiVOT enhances object tracking using visual prompting and CLIP for improved accuracy.

Exploring the odd mistakes made by large language models.

Exploring the merge of communication and sensing for advanced wireless networks.

A new method for testing language models using randomized text.

Polar R-CNN innovates lane detection, improving efficiency and performance.

A new training method improves image segmentation for specific object identification.

Research shows new methods to better align LLMs with human feedback.

Researchers enhance our understanding of element formation during stellar explosions.

A new method identifies problematic devices in federated learning to improve speed and security.

A new method helps language models learn through guided feedback.

New methods improve event prediction in temporal knowledge graphs.

A method for cleaning image noise with minimal data from various sensors.

MLP-GaP quickly predicts galaxy properties from massive data sets.

New techniques enhance camera pose estimation using transformer models.

Explores new methods for training larger machine learning models effectively.

New framework enhances machine learning with minimal examples.

A new approach reduces errors in robotic learning from human demonstrations.

Learn how businesses can use ML to detect and prevent DoS attacks.

A look into DrMMD and its application for better data distribution modeling.