Frank Hutter

Discover how Mamba changes in-context learning for artificial intelligence applications.

New method enhances transfer learning by improving weight generation from pre-trained models.

A new method streamlines neural architecture design across multiple goals.

GRAF enhances performance predictions for neural networks, boosting efficiency and interpretability.

This article discusses early stopping to improve model selection efficiency in machine learning.

A look at how AutoML can better serve diverse user needs.

FairPFN uses transformers to promote fairness in machine learning predictions.

A new method enhances the analysis of hyperparameter optimization results.

A new method improves activation function search for deep learning models.

Uncovering how RNA interacts with proteins beyond protein coding.

A novel approach to world models using synthetic data for improved adaptability.

ARLBench simplifies hyperparameter tuning for reinforcement learning with efficient benchmarking tools.

Using smaller models to speed up training for larger language models.