PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization ...

This repo contains a PyTorch implementation of the pretrained BERT and XLNET model for multi-label text classification. Download the Bert config file from s3 Download ...

for multi-label image classification. To enhance the context awareness and semantic association of different patch regions, we propose a semantic-augmented interaction module that combines two kinds ...

In the most important game of the season for the Mater East Academy basketball team, Lonnie Bass rose to the occasion.

Low-quality labels can distort the modeling process associated with label-induced loss, resulting in decreased performance. We propose a novel cross-domain image classification method, namely, robust ...

California’s largest pension fund has a climate portfolio that includes 52 of the world’s largest greenhouse gas emitters.

Calpers, the largest pension fund in the US, has classified more than $3 billion of holdings in oil drillers, coal miners, ...

Spain's government has approved a bill imposing significant fines on companies that fail to label AI-generated content, ...

In today’s increasingly digital world, protecting sensitive information is crucial, especially for government organizations ...

The goal of the Intelligent Disassembly of Electronics for Remanufacturing and Recycling (iDEAR) project is to create a ...