Indeterminate Probability Neural Network

1 code implementation • 21 Mar 2023 • Tao Yang, Chuang Liu, Xiaofeng Ma, Weijia Lu, Ning Wu, Bingyang Li, Zhifei Yang, Peng Liu, Lin Sun, Xiaodong Zhang, Can Zhang

Besides, for our proposed neural network framework, the output of neural network is defined as probability events, and based on the statistical analysis of these events, the inference model for classification task is deduced.

Classification

Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for Few-Shot Learning

no code implementations • 17 Aug 2022 • Lin Ding, Peng Liu, Wenfeng Shen, Weijia Lu, Shengbo Chen

Model-Agnostic Meta-Learning (MAML) is one of the most successful meta-learning techniques for few-shot learning.

Few-Shot Learning

Using EBGAN for Anomaly Intrusion Detection

no code implementations • 21 Jun 2022 • Yi Cui, Wenfeng Shen, Jian Zhang, Weijia Lu, Chuang Liu, Lin Sun, Si Chen

The generator in IDS-EBGAN is responsible for converting the original malicious network traffic in the training set into adversarial malicious examples.

Intrusion Detection

Method to Annotate Arrhythmias by Deep Network

no code implementations • 9 Jun 2018 • Weijia Lu, Jie Shuai, Shuyan Gu, Joel Xue

These signals were resampled to 200Hz, filtered to remove baseline wandering, projected to 2D gray spectrum and then fed into a deep network with brand-new structure.