Rohit Babbar
Orcid: 0000-0002-3787-8971
According to our database1,
Rohit Babbar
authored at least 45 papers
between 2010 and 2024.
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Bibliography
2024
Mach. Learn., February, 2024
Zero-Shot Learning Over Large Output Spaces : Utilizing Indirect Knowledge Extraction from Large Language Models.
CoRR, 2024
Learning label-label correlations in Extreme Multi-label Classification via Label Features.
CoRR, 2024
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification.
CoRR, 2024
Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 500k Labels on a Single Commodity GPU.
CoRR, 2023
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 670k Labels on a Single Commodity GPU.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Generalized test utilities for long-tail performance in extreme multi-label classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Using ECCO-BERT and the Historical Thesaurus of English to Explore Concepts and Agency in Historical Writing Interpreting the Eighteenth-century Luxury Debate.
Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023
2022
Speeding-up one-versus-all training for extreme classification via mean-separating initialization.
Mach. Learn., 2022
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Computational Humanities Research Conference 2022, 2022
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model.
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022
2021
CoRR, 2021
CoRR, 2021
Embedding Convolutions for Short Text Extreme Classification with Millions of Labels.
CoRR, 2021
Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
2020
Mach. Learn., 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
2017
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
2016
J. Mach. Learn. Res., 2016
TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
2015
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
2014
Machine Learning Strategies for Large-scale Taxonomies. (Strategies d'apprentissage pour la classification dans les grandes taxonomies).
PhD thesis, 2014
Re-ranking approach to classification in large-scale power-law distributed category systems.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the Semantic Web: ESWC 2013 Satellite Events, 2013
2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2010
Clustering based approach to learning regular expressions over large alphabet for noisy unstructured text.
Proceedings of the Fourth Workshop on Analytics for Noisy Unstructured Text Data, 2010