Rohit Babbar
Department of Computer Science

Rohit Babbar

Assistant Professor

Contact information

Postal address
Aalto SCI Computer Science Konemiehentie 2
Full researcher profile
https://research.aalto.fi/...

Description

I am an Assistant Professor at the department of Computer Science, Aalto University in Finland. I will be starting a new research group working on problems in Large-scale Machine Learning, Shallow and Deep Learning for extreme classification and Optimization.

Areas of expertise

large scale learning extreme multi-label classification deep learning optimization

Research groups

Professorship Babbar R., Assistant Professor

Publications

Department of Computer Science, Professorship Babbar R.

Prediction of glucose tolerance without an oral glucose tolerance test

Publishing year: 2018 Frontiers in Endocrinology
Professorship Babbar R., Department of Computer Science

Adversarial Extreme Multi-label Classification

Publishing year: 2018
Department of Computer Science, Professorship Babbar R.

Extreme Multi-label Classification for Information Retrieval

Publishing year: 2018 Advances in Information Retrieval
Not published at Aalto University

DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification

Publishing year: 2017
Not published at Aalto University

Learning Taxonomy Adaptation in Large-scale Classification

Publishing year: 2016 Journal of Machine Learning Research
Not published at Aalto University

TerseSVM : A scalable approach for learning compact models in Large-scale classification

Publishing year: 2016
Not published at Aalto University

Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data

Publishing year: 2015
Not published at Aalto University

On Power Law Distributions in Large-scale Taxonomies

Publishing year: 2014 SIGKDD Explorations

Re-ranking Approach to Classification in Large-scale Power-law Distributed Category Systems

Publishing year: 2014

Maximum-margin Framework for Training Data Synchronization in Large-scale Hierarchical Classification

Publishing year: 2013