IEEE

Deep-Learning Methods for Defect Inspection of Plated Through Holes With Clustering-Based Auto-Labeling and GAN-Based Model Training

Abstract: This paper presents the integration of several deep learning techniques for defect inspection of plated through-hole (PTH) on printed circuit boards (PCBs). In our proposed system, the ...
IEEE

Training a Dynamic Growing Mixture Model for Lifelong Learning

Abstract: Lifelong learning (LLL) defines a training paradigm that aims to continuously acquire and capture new concepts from a sequence of tasks without forgetting. Recently, dynamic expansion models ...
Microsoft

How does AI model training work?

If you’ve ever used Microsoft Copilot or another AI assistant, you’ve probably wondered, “How does Copilot know this?” AI can feel surprisingly smart; but when it misinterprets a prompt or gives ...
GitHub

Modality Gap–Driven Subspace Alignment Training

ReAlign leverages the Modality Gap phenomenon within the high-dimensional hyperspherical embedding space of multimodal contrastive learning to precisely map unpaired text representations into the ...