# JEDI-Crowd-Teaching

**Repository Path**: zypxx/JEDI-Crowd-Teaching

## Basic Information

- **Project Name**: JEDI-Crowd-Teaching
- **Description**: source code and data
- **Primary Language**: Matlab
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-26
- **Last Updated**: 2021-10-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners
-- Yao Zhou, Arun Reddy Nelakurthi, Jingrui He

### Introduction
We propose an adaptive teaching framework named JEDI to construct the personalized optimal teaching set for the crowdsourcing workers. The paper is available at [here](https://www.kdd.org/kdd2018/accepted-papers/view/unlearn-what-you-have-learned-adaptive-crowd-teaching-with-exponentially-de).

### Content
- Matlab implementation of JEDI with harmonic function estimation.
- Django/Python implementation of the JEDI adaptive web interface for real human learners.

### Reference
If you find that **JEDI** is helpful in your research, please consider to cite our paper:

	  @InProceedings{YaoZhouKDD18,
		author={Yao Zhou and Arun Reddy Nelakurthi and Jingrui He},
		title={Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners},
		booktitle={KDD},
		pages={2817--2826},
		year={2018}
	  }


### Acknowledgement
This is the latest source code of JEDI for KDD 18.

Copyright(c) Yao Zhou and Arun Reddy Nelakurthi all rights reserved.