Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Accurate channel-estimation algorithms are critical for enhancing the throughput of wireless communication systems, including millimetre wave (mmWave) multiple-input multiple-output (MIMO) systems, ...

Sometimes we assume the people and things around us are neutral or hostile to our existence. What if the opposite could be true? By Melissa Kirsch Normally I pass my morning commute absorbed in a book ...

Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...

Abstract: In this paper, we explore hyperparameter tuning methods for a convolutional neural network (CNN) applied to sentiment analysis on the IMDB movie reviews dataset. Four popular hyperparameter ...

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...

Supervised Fine-Tuning (SFT) is a standard technique for adapting LLMs to new tasks by training them on expert demonstration datasets. It is valued for its simplicity and ability to develop ...

Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification. Platform + GUI for hyperparameter ...