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Collaborations and top research areas from the last five years
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Scalable and Robust Representation Learning in Large Output Spaces
Babbar, R. (PI)
1/08/22 → 31/07/26
Project: Project at a former HEI
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Scalable and Robust Representation Learning in Large Output Spaces
Babbar, R. (PI)
Project: Research council
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NERC GW4+: Leveraging Deep Learning to Uncover Hidden Patterns of Adverse Events in FAERS Data
Nishtala, P. (PI) & Babbar, R. (PI)
1/07/23 → 31/08/23
Project: Research council
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High Performance Computing for the Detection and Analysis of Historical Discourses
Babbar, R. (PI)
15/12/21 → 31/12/24
Project: Project at a former HEI
Research output
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ELMO: Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
Zhang, J., Ullah, N., Schultheis, E. & Babbar, R., 19 Jul 2025, In: Proceedings of Machine Learning Research. 267, p. 76159-76174 16 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
How Well Calibrated are Extreme Multi-label Classifiers? An Empirical Analysis
Ullah, N., Schultheis, E., Zhang, J. & Babbar, R., 20 Jul 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. U. S. A.: Association for Computing Machinery, p. 1397-1408 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 1).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open Access1 Link opens in a new tab Citation (SciVal) -
Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales
Zhang, J., Ullah, N. & Babbar, R., 24 Jan 2025, Proceedings - International Conference on Computational Linguistics, COLING. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Texas, U. S. A.: Association for Computational Linguistics (ACL), p. 3465-3478 14 p. (Proceedings - International Conference on Computational Linguistics, COLING; vol. Part F206484-1).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open Access1 Link opens in a new tab Citation (SciVal) -
Unbiased Loss Functions for Multilabel Classification with Missing Labels
Schultheis, E. & Babbar, R., 31 Aug 2025, In: Transactions on Machine Learning Research. 2025-AugustResearch output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (SciVal) -
UniDEC: Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification
Kharbanda, S., Gupta, D., Gururaj, K., Malhotra, P., Singh, A., Hsieh, C. J. & Babbar, R., 22 Apr 2025, WWW 2025 - Proceedings of the ACM Web Conference. U. S. A.: Association for Computing Machinery, p. 4124-4133 10 p. (WWW 2025 - Proceedings of the ACM Web Conference).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open Access3 Link opens in a new tab Citations (SciVal)
Activities
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42nd International Conference on Machine Learning, ICML 2025
Babbar, R. (Contributor)
19 Jul 2025 → 25 Jul 2025Activity: Academic conferences and events (excluding conference publications) › Conference presentation / attendance
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Industry Collaboration with Baker Hughes
Babbar, R. (Advisor)
16 Feb 2026Activity: Knowledge Exchange (Industry, Government, NGOs) › Collaboration
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Hosting Andrew Fitzgibbon
Babbar, R. (Host)
30 Jan 2025Activity: Knowledge Exchange (Industry, Government, NGOs) › Hosting a visitor
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Industry collaboration with NetFM (David Herring)
Babbar, R. (Consultant)
27 Nov 2025Activity: Knowledge Exchange (Industry, Government, NGOs) › Collaboration
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PhD supervision of Jinbin Zhang (Aalto University)
Babbar, R. (Supervisor)
1 Mar 2022 → …Activity: External examination and supervision › External supervision / mentoring