Machine learning

Deep Residual Learning for Image Recognition

Exploiting Generative AI to Scale up Intelligent Tutoring Systems

ImageNet classification with deep convolutional neural networks

XGBoost

Highly accurate protein structure prediction with AlphaFold

Rethinking the Inception Architecture for Computer Vision

Learning Multiple Layers of Features from Tiny Images

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)

Attention Is All You Need

Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks