Skip to content

Home Search Authors Pakistan News Saved

SciRah

SciRah does not host or store research papers. Results come live from free, official scholarly APIs, and every paper links back to its original source.

Data sources

OpenAlex
Semantic Scholar
Crossref
CORE
arXiv
PubMed

Privacy policy Terms of service

Rohit Babbar · SciRah

Researcher profile · Semantic Scholar

Rohit Babbar

Share profile

Rohit Babbar — researcher profile on SciRah

h-index: 15
Works: 51
Citations: 1,337

Most-cited papers

DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification
Rohit Babbar, B. Schölkopf
2016Web Search and Data Mining281 citations
Semantic Scholar
Bonsai: diverse and shallow trees for extreme multi-label classification
Sujay Khandagale, Han Xiao, Rohit Babbar
2019Machine-mediated learning192 citations Open access
Semantic Scholar
Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading
Thaha Mohammed, Carlee Joe-Wong, Rohit Babbar, M. Di Francesco
2020IEEE Conference on Computer Communications187 citations Open access
Semantic Scholar
Data scarcity, robustness and extreme multi-label classification
Rohit Babbar, B. Schölkopf
2019Machine-mediated learning167 citations Open access
Semantic Scholar
On Flat versus Hierarchical Classification in Large-Scale Taxonomies
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2013Neural Information Processing Systems79 citations
Semantic Scholar
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification
Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczy'nski
2022Knowledge Discovery and Data Mining34 citations Open access
Semantic Scholar
Learning Taxonomy Adaptation in Large-scale Classification
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini +1 more
2016Journal of machine learning research34 citations
Semantic Scholar
Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels
Mohammadreza Qaraei, Erik Schultheis, Priyanshu Gupta, Rohit Babbar
2021The Web Conference31 citations Open access
Semantic Scholar
Clustering based approach to learning regular expressions over large alphabet for noisy unstructured text
Rohit Babbar, Nidhi Singh
2010Workshop on Analytics for Noisy Unstructured Text Data31 citations
Semantic Scholar
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar
2022Neural Information Processing Systems26 citations Open access
Semantic Scholar
Prediction of Glucose Tolerance without an Oral Glucose Tolerance Test
Rohit Babbar, M. Heni, A. Peter, Martin Hrabě de Angelis +5 more
2018Frontiers in Endocrinology20 citations Open access
Semantic Scholar
On power law distributions in large-scale taxonomies
Rohit Babbar, Cornelia Metzig, Ioannis Partalas, Éric Gaussier +1 more
2014SKDD20 citations Open access
Semantic Scholar
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model
Iiro Rastas, Yann Ciarán Ryan, Iiro Tiihonen, Mohammadreza Qaraei +5 more
2022Workshop on Computational Approaches to Historical Language Change17 citations Open access
Semantic Scholar
Speeding-up one-versus-all training for extreme classification via mean-separating initialization
Erik Schultheis, Rohit Babbar
2022Machine-mediated learning17 citations Open access
Semantic Scholar
Adversarial Extreme Multi-label Classification
Rohit Babbar, B. Schölkopf
2018arXiv.org16 citations
Semantic Scholar
Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2013International Conference on Neural Information Processing15 citations Open access
Semantic Scholar
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification
Siddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha +1 more
2021Annual International ACM SIGIR Conference on Research and Development in Information Retrieval14 citations Open access
Semantic Scholar
Propensity-scored Probabilistic Label Trees
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, K. Dembczynski
2021Annual International ACM SIGIR Conference on Research and Development in Information Retrieval12 citations Open access
Semantic Scholar
Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features
Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee +2 more
2024Knowledge Discovery and Data Mining11 citations Open access
Semantic Scholar
Adversarial examples for extreme multilabel text classification
Mohammadreza Qaraei, Rohit Babbar
2021Machine-mediated learning10 citations Open access
Semantic Scholar
Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 500k Labels on a Single Commodity GPU
Erik Schultheis, Rohit Babbar
2023ECML/PKDD9 citations Open access
Semantic Scholar
Re-ranking approach to classification in large-scale power-law distributed category systems
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Massih-Reza Amini
2014Annual International ACM SIGIR Conference on Research and Development in Information Retrieval9 citations Open access
Semantic Scholar
Consistent algorithms for multi-label classification with macro-at-k metrics
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar +2 more
2024International Conference on Learning Representations7 citations
Semantic Scholar
Generalized test utilities for long-tail performance in extreme multi-label classification
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar +1 more
2023Neural Information Processing Systems7 citations
Semantic Scholar
Meta-classifier free negative sampling for extreme multilabel classification
Mohammadreza Qaraei, Rohit Babbar
2023Machine-mediated learning7 citations Open access
Semantic Scholar
Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification
Mohammadreza Qaraei, Sujay Khandagale, Rohit Babbar
2020The European Symposium on Artificial Neural Networks7 citations
Semantic Scholar
Detecting Sequential Genre Change in Eighteenth-Century Texts
Jinbin Zhang, Y. Ryan, Iiro Rastas, F. Ginter +2 more
2022Workshop on Computational Humanities Research6 citations
Semantic Scholar
Unbiased Loss Functions for Multilabel Classification with Missing Labels
Erik Schultheis, Rohit Babbar
2021Trans. Mach. Learn. Res.6 citations
Semantic Scholar
Unbiased Loss Functions for Extreme Classification With Missing Labels
Erik Schultheis, Mohammadreza Qaraei, Priyanshu Gupta, Rohit Babbar
2020arXiv.org6 citations
Semantic Scholar
TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification
Rohit Babbar, Krikamol Muandet, B. Schölkopf
2016SDM6 citations
Semantic Scholar
DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language Models
Jinbin Zhang, Nasib Ullah, Erik Schultheis, Rohit Babbar
2025arXiv.org5 citations
Semantic Scholar
Navigating Extremes: Dynamic Sparsity in Large Output Space
Nasib Ullah, Erik Schultheis, Mike Lasby, Yani Ioannou +1 more
2024Neural Information Processing Systems5 citations
Semantic Scholar
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
Georgios Balikas, Ioannis Partalas, Éric Gaussier, Rohit Babbar +1 more
2015International Symposium on Intelligent Data Analysis5 citations Open access
Semantic Scholar
Adaptive Classifier Selection in Large-Scale Hierarchical Classification
Ioannis Partalas, Rohit Babbar, Éric Gaussier, Cécile Amblard
2012International Conference on Neural Information Processing5 citations Open access
Semantic Scholar
ELMO: Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
Jinbin Zhang, Nasib Ullah, Erik Schultheis, Rohit Babbar
2025International Conference on Machine Learning4 citations
Semantic Scholar
Embedding Convolutions for Short Text Extreme Classification with Millions of Labels
Siddhant Kharbanda, Atmadeep Banerjee, Akash Palrecha, Rohit Babbar
2021arXiv.org4 citations
Semantic Scholar
How Well Calibrated are Extreme Multi-label Classifiers? An Empirical Analysis
Nasib Ullah, Erik Schultheis, Jinbin Zhang, Rohit Babbar
2025Knowledge Discovery and Data Mining3 citations Open access
Semantic Scholar
Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales
Jinbin Zhang, Nasib Ullah, Rohit Babbar
2024International Conference on Computational Linguistics3 citations
Semantic Scholar
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification
Siddhant Kharbanda, Devaansh Gupta, Gururaj K, Pankaj Malhotra +3 more
2024The Web Conference3 citations Open access
Semantic Scholar
Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization
Erik Schultheis, Rohit Babbar
2021arXiv.org3 citations
Semantic Scholar
Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law
Rohit Babbar, Ioannis Partalas, Cornelia Metzig, Éric Gaussier +1 more
2013Extended Semantic Web Conference3 citations Open access
Semantic Scholar
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
Nasib Ullah, Erik Schultheis, Jinbin Zhang, Rohit Babbar
2024arXiv.org2 citations
Semantic Scholar
A General Online Algorithm for Optimizing Complex Performance Metrics
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar +1 more
2024International Conference on Machine Learning2 citations
Semantic Scholar
Neural Architecture Search for Extreme Multi-label Text Classification
Loïc Pauletto, Massih-Reza Amini, Rohit Babbar, Nicolas Winckler
2020International Conference on Neural Information Processing2 citations Open access
Semantic Scholar
Machine Learning Strategies for Large-scale Taxonomies. (Strategies d'apprentissage pour la classification dans les grandes taxonomies)
Rohit Babbar
20142 citations Open access
Semantic Scholar
On empirical tradeoffs in large scale hierarchical classification
Rohit Babbar, Ioannis Partalas, Éric Gaussier, Cécile Amblard
2012International Conference on Information and Knowledge Management2 citations Open access
Semantic Scholar
HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
Nasib Ullah, Jin-Bin Zhang, Jean Lucien Randrianantenaina, Erik Schultheis +1 more
2026arXiv.org1 citations
Semantic Scholar
Neural Architecture Search for extreme multi-label classification: an evolutionary approach
Loïc Pauletto, Massih-Reza Amini, Rohit Babbar, Nicolas Winckler
20201 citations
Semantic Scholar
A Simple and Effective Scheme for Data Pre-processing in Extreme Classification
Sujay Khandagale, Rohit Babbar
2019The European Symposium on Artificial Neural Networks1 citations
Semantic Scholar
Using ECCO-BERT and the Historical Thesaurus of English to Explore Concepts and Agency in Historical Writing Interpreting the Eighteenth-century Luxury Debate
A. Liimatta, Eetu Mäkelä, F. Ginter, Iiro Rastas +9 more
2023Digital Humanities Conference0 citations Open access
Semantic Scholar

Frequent co-authors

Invite them to SciRah by sharing their profile.

Erik Schultheis×18
Invite
Erik Schultheis — researcher profile on SciRah
Ioannis Partalas×9
Invite
Ioannis Partalas — researcher profile on SciRah
Éric Gaussier×9
Invite
Éric Gaussier — researcher profile on SciRah
Massih-Reza Amini×9
Invite
Massih-Reza Amini — researcher profile on SciRah

Mohammadreza Qaraei×6

Invite

Mohammadreza Qaraei — researcher profile on SciRah

Invite

Nasib Ullah — researcher profile on SciRah

B. Schölkopf×5

Invite

B. Schölkopf — researcher profile on SciRah

Marek Wydmuch×5

Invite

Marek Wydmuch — researcher profile on SciRah

Jinbin Zhang×5

Invite

Jinbin Zhang — researcher profile on SciRah

Krzysztof Dembczy'nski×4

Invite

Krzysztof Dembczy'nski — researcher profile on SciRah

Siddhant Kharbanda×4

Invite

Siddhant Kharbanda — researcher profile on SciRah

Atmadeep Banerjee×4

Invite

Atmadeep Banerjee — researcher profile on SciRah