Microsoft Research India Overview
The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research community and raise the bar on research efforts.…
Panel Discussion: AI & Society
The Academic Research Summit 2018 is a forum to foster meaningful discussion among the Indian Computer Science research community and enable collaborations to advance the state of the art and raise the bar on research…
Keynote Talk: Microsoft Research Labs – Expand The State of The Art
The Academic Research Summit 2018 is a forum to foster meaningful discussion among the Indian Computer Science research community and enable collaborations to advance the state of the art and raise the bar on research…
Keynote Talk – AI and Technology in Service of Society
The Academic Research Summit 2018 is a forum to foster meaningful discussion among the Indian Computer Science research community and enable collaborations to advance the state of the art and raise the bar on research…
Working Digital Money into a Cash Economy
Dreaming Contextual Memory
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
Deep Learning Approach for Extreme Multi-label Text Classification
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
Precision-Recall versus Accuracy and the Role of Large Data Sets
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
A Reduction Principle for Generalizing Bona Fide Risk Bounds in Multi-class Setting
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…