NC-ALG: Graph-based Active Learning under Noisy Crowd.

This repository is the official implementation of NC-ALG.

Requirements

To install requirements:

pip install -r requirements.txt

Training

To train the model(s) in the paper:

cd the “example” data

run the python file NC-ALG.py

Results

  1. Accuracy comparison:

  1. Accuracy under Different Labeling Budgets:

  1. Accuracy under Different Noisy Rates:

  1. Generalization Evaluation:

  1. Ablation Study:

  1. Interpretability: