According to @godofprompt, a widespread trend in artificial intelligence research involves systematic p-hacking, where experiments are repeatedly run until benchmarks show improvement, with successes ...
This repository contains a comprehensive machine learning project that systematically evaluates 8 different algorithms for predicting mitochondrial membrane potential (MMP) toxicity using the Tox21 ...
This is read by an automated voice. Please report any issues or inconsistencies here. I genuinely love a good facial — the ritual of it, the permission to lie still for 90 minutes, the way my skin ...
Software defect prediction (SDP) is crucial for delivering high-quality software products. The SDP activities help software teams better utilize their software quality assurance efforts, improving the ...
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 ...
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 ...
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