A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices

Discrimination via algorithmic decision making has received considerable attention. Prior work largely focuses on...

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 , London, United Kingdom, August 2018

Workers of the Internet unite? Online freelancer organisation among remote gig economy workers in six Asian and African countries

This article presents findings regarding collective organisation among online freelancers in middle‐income countries. Drawing...

Wood, A. J., Lehdonvirta, V. and Graham, M. (2018), Workers of the Internet unite? Online freelancer organisation among remote gig economy workers in six Asian and African countries. New Technology, Work and Employment, 33: 95-112. doi: 10.1111/ntwe.12112

The University of Edinburgh’s Neural MT Systems for WMT17

This paper describes the University of Edinburgh's submissions to the WMT17 shared news translation...

Sennrich, R, Birch-Mayne, A, Currey, A, Germann, U, Haddow, B, Heafield, K, Miceli Barone, A & Williams, P 2017, The University of Edinburgh’s Neural MT Systems for WMT17. in EMNLP 2017: The Second Conference on Machine Translation, Volume 2: Shared Task Papers.. Association for Computational Linguistics (ACL), pp. 389-399, Proceedings of the Second Conference on Machine Translation, Copenhagen, Denmark, 7-8 September. DOI: 10.18653/v1/W17-4739

Marian: Fast Neural Machine Translation in C++

We present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated...

Junczys-Dowmunt, M, Grundkiewicz, R, Dwojak, T, Hoang, H, Heafield, K, Neckermann, T, Seide, F, Germann, U, Aji, AF, Bogoychev, N, Martins, AFT & Birch-Mayne, A 2018, Marian: Fast Neural Machine Translation in C++. in The 56th Annual Meeting of the Association for Computational Linguistics. 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 15-20 July.

Sparse communication for distributed gradient descent

We make distributed stochastic gradient descent faster by exchanging sparse updates instead of dense...

Aji, A & Heafield, K 2017, Sparse Communication for Distributed Gradient Descent. in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017). Association for Computational Linguistics (ACL), pp. 440-445, EMNLP 2017: Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, 7-11 September.