来自MSN

Why your data labeling platform’s export format is killing your model training pipeline

This scenario plays out constantly across ML teams of every size. The labeling work is done well. The problem is the format it comes out in. Export format is one of the most overl ...
The New York Times

Is Museum Wall Text the Next Political Battleground?

This work by Stephanie J. Woods on display at the Smithsonian’s National Portrait Gallery is part of a competition that recognizes excellence in portraiture. All the works have labels that identify ...
Hacker

How to Debug and Optimize Multi-GPU Training in TensorFlow

Your browser does not support the audio element. Optimize and debug the performance on the multi-GPU single host. For example, if you are using a TensorFlow ...
IEEE

LMFN: Label-Aware Multi-Semantic Fusion Network for Multi-Label Text Classification

Abstract: The multi-label text classification (MLTC) task involves associating text data with multiple relevant labels. However, previous studies often overlooked the co-occurrence information of ...
Hacker

LLM-Augmented Text Classification: Distilling GPT-4 Labels into Efficient Classifiers

At the end of the label taxonomy generation phase, we conduct a lightweight human calibration [23] on the intent taxonomy and domain taxonomy generated from TnT-LLM with GPT-4 to improve their clarity ...
GitHub

Label map id 0 is reserved for the background label

when i run the python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config..... (tf) D:\Anaconda\envs\tf ...
IEEE

Multi-Label Text Classification for Judicial Texts via Dual Graph and Label Feature Fusion

Abstract: The legal judgement prediction (LJP) of judicial texts represents a multi-label text classification (MLTC) problem, which in turn involves three distinct tasks: the prediction of charges, ...