IEEE

Advancing Real-World Image Dehazing: Perspective, Modules, and Training

Abstract: Restoring high-quality images from degraded hazy observations is a fundamental and essential task in the field of computer vision. While deep models have achieved significant success with ...
IEEE

Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...
GitHub

TabPFGen: Synthetic Tabular Data Generation with TabPFN

TabPFGen is a Python library for generating high-quality synthetic tabular data using energy-based modeling and stochastic gradient Langevin dynamics (SGLD). It supports both classification and ...
TechCrunch

Fundamental raises $255M Series A with a new take on big data analysis

An AI lab called Fundamental emerged from stealth on Thursday, offering a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by ...
scmp.com

Outrage in South Korea over ‘importing virgins’ proposal to raise birth rate

A South Korean governor has sparked outrage after he proposed “importing Sri Lankan and Vietnamese virgins” to help stem the population decline in provincial areas. Jindo county Governor Kim Hee-soo ...
GitHub

Graph Neural Networks for Tabular Data Learning (GNN4TDL)

The deep learning-based approaches to Tabular Data Learning (TDL), classification and regression, have shown competing performance, compared to their conventional counterparts. However, the latent ...