3 citations · 10 across the 7 of their papers we have counts for
3 papers · 1 filter
Deep Domain Adaptation under Deep Label Scarcity
Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal +1
The goal behind Domain Adaptation (DA) is to leverage the labeled examples from a source domain so as to infer an accurate model in a target domain where labels are not available o…
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…
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan +1
We consider the problem of Probably Approximate Correct (PAC) learning of a binary classifier from noisy labeled examples acquired from multiple annotators (each characterized by a…