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. Along with my research group, we work on problems in machine learning for sequential data such as text and audio, robustness, and Extreme Classification.

Areas of expertise

large scale learning extreme multi-label classification deep learning sequential data robustness

Research groups

Professorship Babbar R., Assistant Professor

Publications

Professorship Babbar R., Department of Computer Science

Data scarcity, robustness and extreme multi-label classification

Publishing year: 2019 Machine Learning
Professorship Babbar R., Department of Computer Science

A Simple and Effective Scheme for Data Pre-processing in Extreme Classification

Publishing year: 2019 ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Helsinki Institute for Information Technology HIIT, Professorship Gionis A., Department of Computer Science, Professorship Babbar R.

Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification

Publishing year: 2019 arXiv.org
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