Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/yongkaiwu/FairAI

This is a collection of papers and other resources related to fairness.
https://github.com/yongkaiwu/FairAI

aaai ai aistats algorithm artificial-intelligence bias cikm discrimination ethics fair fairness fate icdm icml ijcai kdd machine-learning nips papers uai

Last synced: 3 months ago
JSON representation

This is a collection of papers and other resources related to fairness.

Host: GitHub
URL: https://github.com/yongkaiwu/FairAI
Owner: yongkaiwu
Created: 2019-02-02T15:56:04.000Z (almost 6 years ago)
Default Branch: master
Last Pushed: 2023-06-18T19:44:12.000Z (over 1 year ago)
Last Synced: 2024-05-14T00:51:38.900Z (6 months ago)
Topics: aaai, ai, aistats, algorithm, artificial-intelligence, bias, cikm, discrimination, ethics, fair, fairness, fate, icdm, icml, ijcai, kdd, machine-learning, nips, papers, uai
Language: HTML
Homepage: https://yongkaiwu.github.io/FairAI/
Size: 407 KB
Stars: 87
Watchers: 8
Forks: 18
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

awesome-machine-learning-resources - **[List

README

        # Homepage

This is a comprehensive repository containing the latest papers, tutorials, and other resources on Fairness in Artificial Intelligence.

## [Conference Papers](conference.md)

> Indexed by year and venue:

>  

> - [2022](conference.md#2022): [AAAI](conference.md#aaai-2022), [AISTATS](conference.md#aistats-2022), [BIGDATA](conference.md#bigdata-2022), [CIKM](conference.md#cikm-2022), [FAT\*](conference.md#fat-2022), [ICDM](conference.md#icdm-2022), [ICLR](conference.md#iclr-2022), [ICML](conference.md#icml-2022), [IJCAI](conference.md#ijcai-2022), [KDD](conference.md#kdd-2022), [NIPS](conference.md#nips-2022), [SDM](conference.md#sdm-2022), [UAI](conference.md#uai-2022), [WWW](conference.md#www-2022), [Others](conference.md#others-2022)

> - [2021](conference.md#2021): [AAAI](conference.md#aaai-2021), [AISTATS](conference.md#aistats-2021), [BIGDATA](conference.md#bigdata-2021), [CIKM](conference.md#cikm-2021), [FAT\*](conference.md#fat-2021), [ICDM](conference.md#icdm-2021), [ICLR](conference.md#iclr-2021), [ICML](conference.md#icml-2021), [IJCAI](conference.md#ijcai-2021), [KDD](conference.md#kdd-2021), [NIPS](conference.md#nips-2021), [SDM](conference.md#sdm-2021), [UAI](conference.md#uai-2021), [WWW](conference.md#www-2021), [Others](conference.md#others-2021) 

> - [2020](conference.md#2020): [AAAI](conference.md#aaai-2020), [AISTATS](conference.md#aistats-2020), [BIGDATA](conference.md#bigdata-2020), [CIKM](conference.md#cikm-2020), [FAT\*](conference.md#fat-2020), [ICDM](conference.md#icdm-2020), [ICML](conference.md#icml-2020), [IJCAI](conference.md#ijcai-2020), [KDD](conference.md#kdd-2020), [NIPS](conference.md#nips-2020), [SDM](conference.md#sdm-2020), [UAI](conference.md#uai-2020), [WWW](conference.md#www-2020), [Others](conference.md#others-2020)

> - [2019](conference.md#2019): [AAAI](conference.md#aaai-2019), [AISTATS](conference.md#aistats-2019), [BIGDATA](conference.md#bigdata-2019), [CIKM](conference.md#cikm-2019), [FAT\*](conference.md#fat-2019), [ICDM](conference.md#icdm-2019), [ICML](conference.md#icml-2019), [IJCAI](conference.md#ijcai-2019), [KDD](conference.md#kdd-2019), [NIPS](conference.md#nips-2019), [SDM](conference.md#sdm-2019), [UAI](conference.md#uai-2019), [WWW](conference.md#www-2019), [Others](conference.md#others-2019)

> - [2018](conference.md#2018): [AAAI](conference.md#aaai-2018), [AISTATS](conference.md#aistats-2018), [CIKM](conference.md#cikm-2018),[FAT\*](conference.md#fat-2018), [ICDM](conference.md#icdm-2018), [ICML](conference.md#icml-2018), [IJCAI](conference.md#ijcai-2018), [KDD](conference.md#kdd-2018), [NIPS](conference.md#nips-2018), [WWW](conference.md#www-2018), [Others](conference.md#others-2018)

> - [2017](conference.md#2017): [AAAI](conference.md#aaai-2017), [AISTATS](conference.md#aistats-2017), [BigData](conference.md#bigdata-2017), [CIKM](conference.md#cikm-2017), [ICDM](conference.md#icdm-2017), [ICML](conference.md#icml-2017), [IJCAI](conference.md#ijcai-2017), [KDD](conference.md#kdd-2017), [NIPS](conference.md#nips-2017), [UAI](conference.md#uai-2017), [WWW](conference.md#www-2017), [Others](conference.md#others-2017)

> - [2016](conference.md#2016): [ICDM](conference.md#icdm-2016), [IJCAI](conference.md#ijcai-2016), [NIPS](conference.md#nips-2016), [SDM](conference.md#sdm-2016), [Others](conference.md#others-2016)

> - [2015](conference.md#2015): [KDD](conference.md#kdd-2015)

> - [before 2015](conference.md#2014): [All](conference.md#2014)

## [Workshop Papers](workshop.md)

> Indexed by year and venue:

>  

> - [2019](workshop.md#2019): [AIES](workshop.md#aies-2019), [FAT/ML](workshop.md#fatml-2019), [FATES](workshop.md#fates-2019)

> - [2018](workshop.md#2018): [AIES](workshop.md#aies-2018), [FAT/ML](workshop.md#fatml-2018)

> - [2017](workshop.md#2017): [FAT/ML](workshop.md#fatml-2017)

> - [2016](workshop.md#2016): [FAT/ML](workshop.md#fatml-2016)

> - [2015](workshop.md#2015): [FAT/ML](workshop.md#fatml-2015)

> - [Before 2015](workshop.md#2014): [FAT/ML 2014](workshop.md#fatml-2014)

## [Journal Papers](journal.md)

## Other Resources

- [Tutorials](other.md#courses)

- [Courses](other.md#tutorials)

- [Workshops](other.md#workshops)

- [Dataset](other.md#datasets)

## Supplement

- [Works from our group (SAIL)](sail.md)

  - [Papers from SAIL](sail.md##papers-from-sail)

  - [Tutorials by SAIL](sail.md##tutorials-by-sail)

- Data Sources

  - Conference proceedings are found at [DBLP](https://dblp.uni-trier.de).

  - The following conferences are considered: 

    > [AAAI](https://dblp.uni-trier.de/db/conf/aaai/), [AISTATS](https://dblp.uni-trier.de/db/conf/aistats/), [~~ASONAM~~](https://dblp.uni-trier.de/db/conf/asunam), [BigData](https://dblp.uni-trier.de/db/conf/bigdataconf/), [CIKM](https://dblp.uni-trier.de/db/conf/cikm/), [~~COLT~~](https://dblp.uni-trier.de/db/conf/colt/), [FAT\*](https://dblp.uni-trier.de/db/conf/fat/), [ICDM](https://dblp.uni-trier.de/db/conf/icdm/), [ICML](https://dblp.uni-trier.de/db/conf/icml/), [IJCAI](https://dblp.uni-trier.de/db/conf/ijcai/), [~~ITCS~~](https://dblp.uni-trier.de/db/conf/innovations), [KDD](https://dblp.uni-trier.de/db/conf/kdd/), [NIPS](https://dblp.uni-trier.de/db/conf/nips/), [SDM](https://dblp.uni-trier.de/db/conf/sdm/), [UAI](https://dblp.uni-trier.de/db/conf/uai/), [~~WSDM~~](https://dblp.uni-trier.de/db/conf/wsdm/), [WWW](https://dblp.uni-trier.de/db/conf/www/)

  - The following workshops are considered:  

     > [AIES](http://www.aies-conference.com), [FAT/ML](https://www.fatml.org), [FATES](http://fates19.isti.cnr.it/)