4 papers · 1 filter
Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
Zheng-an Wang, Yanbo J. Wang, Jiachi Zhang +11
Quantum Machine Learning (QML) offers a new paradigm for addressing complex financial problems intractable for classical methods. This work specifically tackles the challenge of fe…
Hybrid Real- and Complex-valued Neural Network Architecture
Alex Young, Luan VinÃcius Fiorio, Bo Yang +3
We propose a \emph{hybrid} real- and complex-valued \emph{neural network} (HNN) architecture, designed to combine the computational efficiency of real-valued processing with the ab…
CE-U: Cross Entropy Unlearning
Bo Yang
Large language models memorize sensitive data from their pretraining corpora. In this work, we propose CE-U (Cross Entropy Unlearning), a loss function for unlearning. CE-U address…
Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness
Hao Xuan, Bokai Yang, Xingyu Li
The softmax function is a fundamental component in deep learning. This study delves into the often-overlooked parameter within the softmax function, known as "temperature," providi…