5 citations · 15 across the 7 of their papers we have counts for
3 papers · 1 filter
Topic Model Based Multi-Label Classification from the Crowd
Divya Padmanabhan, Satyanath Bhat, Shirish Shevade +1
Multi-label classification is a common supervised machine learning problem where each instance is associated with multiple classes. The key challenge in this problem is learning th…
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing
Satyanath Bhat, Divya Padmanabhan, Shweta Jain +1
We study a problem of allocating divisible jobs, arriving online, to workers in a crowdsourcing setting which involves learning two parameters of strategically behaving workers. Ea…
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds
Divya Padmanabhan, Satyanath Bhat, Dinesh Garg +2
We study the problem of training an accurate linear regression model by procuring labels from multiple noisy crowd annotators, under a budget constraint. We propose a Bayesian mode…