InfoWorld

AI-augmented data quality engineering

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
IEEE

Siamese Multi-View Masked Autoencoders for Skeleton-Based Action Representation Learning

Abstract: In recent years, supervised skeleton-based action recognition has achieved notable results. However, these methods rely on labeled data, which is both resource-intensive and time-demanding ...
IEEE

Bipartite Graph Attention Autoencoders for Unsupervised Change Detection Using VHR Remote Sensing Images

Abstract: Detecting land cover change is an essential task in very-high-spatial-resolution (VHR) remote sensing applications. However, because VHR images can capture the details of ground objects, the ...
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 ...
GitHub

Disentangling Masked Autoencoders for Unsupervised Domain Generalization

This is the source code accompanying the paper Disentangling Masked Autoencoders for Unsupervised Domain Generalization by An Zhang*, Han Wang*, Xiang Wang, Tat-Seng Chua python ../train.py \ ...