IEEE

Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation

Abstract: Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data ...
IEEE

Synthetic Versus Classic Data Augmentation: Impacts on Breast Ultrasound Image Classification

Abstract: The effectiveness of deep neural networks (DNNs) for the ultrasound image analysis depends on the availability and accuracy of the training data. However, the large-scale data collection and ...
TechCrunch

OpenAI continues on its ‘code red’ warpath with new image generation model

OpenAI is rolling out a new version of ChatGPT Images that promises better instruction-following, more precise editing, and up to 4x faster image generation speeds. The new model, dubbed GPT Image 1.5 ...
GitHub

Adaptive PID Control for Robotic Systems via Hierarchical Meta-Learning and Reinforcement Learning with Physics-Based Data Augmentation

Official implementation of "Reinforcement Learning-Enhanced Model Predictive Control with Meta-Learning for Online Compensation of Dynamic Model Errors".
Dark Reading

Copilot's No-Code AI Agents Liable to Leak Company Data

Artificial intelligence (AI) agents are a breeze to create using Microsoft Copilot Studio, and almost just as easy to manipulate into divulging sensitive corporate data. Despite broad security ...