activity
20062024
most citedFairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

192 citations · 769 across the 81 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.LG2019★ 2 cited

Map Enhanced Route Travel Time Prediction using Deep Neural Networks

Soumi Das, Rajath Nandan Kalava, Kolli Kiran Kumar +4

Travel time estimation is a fundamental problem in transportation science with extensive literature. The study of these techniques has intensified due to availability of many publi…

cs.SI2019

Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations

Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly +1

Major online platforms today can be thought of as two-sided markets with producers and customers of goods and services. There have been concerns that over-emphasis on customer sati…

cs.LG2019

Regression Under Human Assistance

Abir De, Nastaran Okati, Paramita Koley +2

Decisions are increasingly taken by both humans and machine learning models. However, machine learning models are currently trained for full automation -- they are not aware that s…

cs.CL2019★ 34 cited

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs

Soumya Sharma, Bishal Santra, Abhik Jana +3

Recently, biomedical version of embeddings obtained from language models such as BioELMo have shown state-of-the-art results for the textual inference task in the medical domain. I…

cs.CL2019

A Deep Generative Model for Code-Switched Text

Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar +2

Code-switching, the interleaving of two or more languages within a sentence or discourse is pervasive in multilingual societies. Accurate language models for code-switched text are…

cs.CL2019★ 6 cited

Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text

Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti

Multilingual writers and speakers often alternate between two languages in a single discourse, a practice called "code-switching". Existing sentiment detection methods are usually…