IEEE

Neuroevolutionary Convolutional Neural Network Design for Low-Resolution Face Recognition

Abstract: Face recognition (FR) is one of the most widely used biometric methods for identity authentication. Although most of the recently proposed methods demonstrate remarkable performance on ...
IEEE

Convolutional Autoencoders Coupled With Hypernetworks for Recognizing Attacks in 5G Networks and Beyond

Abstract: The evolution of Beyond 5G (B5G) and 6G networks requires the design of powerful deep neural networks to effectively address the emerging threats and ensure predictive, adaptive security ...
GitHub

Graph Positional Autoencoders as Self-supervised Learners (GraphPAE)

accelerate==0.33.0 numpy==1.24.4 ogb==1.3.6 pandas==2.2.3 PyYAML==6.0.2 rdkit_pypi==2022.9.5 scikit_learn==1.3.2 scipy==1.8.1 torch==2.1.2+cu121 torch_geometric==2.6.1 torch_scatter==2.1.2+pt21cu121 ...
GitHub

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...